Developing an ISO–DMBoK2 Integrated Framework for BIM Data Governance: Conceptual Model and Pilot Demonstration

Developing an ISO–DMBoK2 Integrated Framework for BIM Data Governance: Conceptual Model and Pilot Demonstration | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Developing an ISO–DMBoK2 Integrated Framework for BIM Data Governance: Conceptual Model and Pilot Demonstration Murat AYDIN This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9049000/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 12 You are reading this latest preprint version Abstract Purpose Building Information Modeling (BIM) projects increasingly require structured information management based on the ISO 19650 standard; however, this standard provides limited guidance on governance maturity, security mechanisms, and long-term data lifecycle control. This study aims to address this gap by developing an integrated BIM data governance framework that combines ISO 19650 workflows with DMBoK2 governance principles. Design/Methodology/Approach: The study developed the ISO–DMBoK2 BIM Management Framework (IDBMF) using the Design Science Research (DSR) method. The framework was piloted on a four-story reinforced concrete apartment project modeled in ArchiCAD and executed on a Common Data Environment (CDE). Key performance indicators (KPIs) derived from ISO 19650 and DMBoK2 were used to evaluate documentation accuracy, interoperability efficiency, security compliance, and governance maturity. Findings: The pilot implementation demonstrated measurable improvements in BIM data governance. Documentation consistency increased by 28%, interoperability errors decreased by 77%, and security compliance improved by 92%. Originality/Value: This study is the first approach to systematically integrate the structured information management processes of ISO 19650 with the governance domains of DMBoK2. The proposed IDBMF offers a scalable and measurable data governance model that enhances documentation, interoperability, security, and lifecycle adaptability. Limitations/Future Work: Findings are limited in generalizability as they are based on a single pilot case. Future research is recommended to test the framework in different project types, examine AI driven validation mechanisms, and explore blockchain-based audit trails. Building information modelling (BIM) ISO 19650 DMBoK2 BIM data governance BIM management framework Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 1. INTRODUCTION In the construction industry, where digital transformation is accelerating, Building Information Modeling (BIM) has become a fundamental method for organizing information flow throughout the building lifecycle. BIM is based on a structured information management approach that enhances interdisciplinary coordination, traceability, and decision-making processes [1], [2], [3] In this context, ISO 19650 has established a global reference point for standardized information management in BIM environments [4], [5], [6], [7]. However, while ISO 19650 is strong in documentation and process standardization, it remains limited in areas such as governance maturity, security mechanisms, and long-term data lifecycle management [8], [9]. Moreover, the Data Management Body of Knowledge (DMBoK2) provides comprehensive principles for data governance, security, metadata management, and maturity development. however, it is not directly compatible with BIM-specific workflows [10], [11], [12], [13]. Current studies generally focus either on BIM information management (ISO 19650) or enterprise data governance (DMBoK2), but do not offer an approach that integrates these two areas. This increases the mismatch between structured information management and governance maturity models in BIM projects and creates a critical gap in the industry [14], [15], [16]. The aim of this study is to develop an integrated BIM data governance model (IDBMF) that combines the structured information management processes of ISO 19650 with the governance principles of DMBoK2 and to test it with a pilot application. The proposed framework consists of four phases: Standardization, Interoperability, Data Quality and Security, and Governance Maturity, and aims to systematically improve documentation accuracy, interdisciplinary data exchange, security compliance, and lifecycle adaptation in BIM environments. The study pursues the following measurable objectives: To create a standardized BIM data governance model by aligning ISO 19650 documentation processes with DMBoK2 metadata and data architecture principles. To enhance interdisciplinary interoperability through structured data exchange, validation, and lifecycle management mechanisms. To strengthen BIM data security and compliance by integrating ISO 19650 5 access control protocols with DMBoK2 security governance. To implement a maturity-based assessment model that enables continuous monitoring of BIM governance performance. The novelty of this study lies in its systematic integration of ISO 19650 and DMBoK2, bridging the long-standing gap between BIM information management and enterprise data governance. While existing BIM governance models typically focus on either process standardization or organizational maturity, the IDBMF offers a scalable and measurable approach that encompasses both dimensions. This integrated structure produces a holistic solution for BIM data management by combining the process-oriented structure of ISO 19650 with the governance-oriented knowledge areas of DMBoK2 [17], [18], [19]. This study consists of eight sections. Section 2 reviews the literature on BIM information management, data governance, and maturity models, highlighting the conceptual gap between ISO 19650 and DMBoK2. Section 3 explains the Design Science Research (DSR) methodology used in the study and the development process of IDBMF. Section 4 details the four-phase IDBMF model, which integrates ISO 19650 processes with DMBoK2 governance areas. Section 5 describes the application of the framework to a four-story reinforced concrete apartment building project and the pilot testing process. Section 6 presents findings based on quantitative indicators such as documentation accuracy, interoperability efficiency, security compliance, and governance maturity. Section 7 discusses the contributions of the framework by relating these findings to the existing literature. Finally, Section 8 summarizes the results of the study and provides recommendations for future research. 2. LITERATURE REVIEW The integration of BIM with information management and data governance has been widely discussed in various fields. However, there remains limited research explicitly combining ISO 19650 and DMBoK2 into a unified framework. While existing research offers valuable contributions on data governance, quality management, and structured methodologies, it mostly focuses on either information management or governance maturity. This section reviews the literature along three thematic axes. ISO 19650 and BIM Data Management Standards ISO 19650 has become a global reference point for structured BIM information management, ensuring consistency, interoperability, and traceability throughout the project lifecycle. Recent studies have revealed different applications of this standard. For example, Almeida et al. (2023) proposed an ISO 19650-based framework for integrating BIM with Environmental Product Declarations, while Ajayi et al. (2023) demonstrated how automation facilitated compliance with ISO 19650 naming conventions [4], [5]. Abanda et al. (2025) explained how ISO 19650 improved stakeholder communication through a process modeling approach, and Kaya and Özener (2025) strategically evaluated BIM-focused information management in the context of ISO 19650-2 [6], [8]. Panagiotidou et al. (2023) presented a global review of BIM Implementation Plans, emphasizing the importance of ISO 19650 compliance [9]. Succar & Kassem (2017) further highlighted how ISO 19650-compliant workflows reduce documentation errors and improve metadata traceability, providing a benchmark for evaluating documentation accuracy in BIM environments [7]. These studies confirm ISO 19650's role in standardizing BIM workflows, but they also reveal gaps in governance maturity, security, and lifecycle adaptability. Enterprise Data Governance and DMBoK2 Framework DMBoK2 provides a comprehensive governance model, addressing data quality, security, metadata, and lifecycle management. Its relevance to BIM lies in bridging organizational governance principles with technical workflows. Numerous studies have demonstrated DMBoK2’s applicability across different sectors. Ruslan et al. (2022) applied DMBoK2 in human capital management operations, while Yulfitri & Achmad (2020) analyzed organizational data governance activities based on DMBoK2 [11], [12]. Indriany et al. (2021) and Liang et al. (2024) focused on data quality management maturity, and Cretu (2025) emphasized maturity assessment for public institutions [13], [14], [15]. Kamarulzaman et al. (2025) proposed a higher education data governance framework, while Steuperaert et al. (2025) introduced a reference model for information quality in IT governance contexts. [16], [20]. In addition, Brahmantara (2021) and Saputra (2023) evaluated data maturity models aligned with DMBoK2 principles [21], [22]. Ismail (2024) and Rahmawati (2023) discussed TDQM and CMMI-based approaches, reinforcing the necessity of scalable data governance models [23], [24]. Gordon & Thompson (2024) examined organizational data strategies in the built environment, highlighting DMBoK2’s role in institutional contexts [25], [26], [27]. Ramdhani (2024) and Swetha Talluri (2025) investigated master data management and maturity assessments, demonstrating DMBoK2’s practical adaptability [24], [28]. Domingues & Ribeiro (2023) proposed a comparative framework for project management maturity models, enabling systematic evaluation of different maturity approaches [17]. Santos et al. (2024) extended this perspective by proposing a BIM-specific maturity model that integrates governance and security dimensions, offering a relevant benchmark for evaluating governance scalability [18]. This body of literature has shown DMBoK2’s wide applicability across sectors, yet its direct connection to BIM-specific workflows remains limited. This gap underscores the originality and necessity of integrating ISO 19650 with DMBoK2 through the proposed IDBMF framework. Bridging Information Management and Governance in BIM Contexts Recent research attempts to relate the structured workflows of ISO 19650 to governance principles. Brelih and Klinc (2025) examined security and privacy mechanisms in CDE-based BIM collaboration, while Brandín and Abrishami (2025) proposed blockchain-based traceability for BIM data flows [29], [30]. Sompolgrunk et al. (2025) explored the strategic alignment of big BIM data, while Hijazi and Das (2025) discussed BIM and IoT integration within smart city strategies [31], [32]. Rehman (2025) reviewed the role of BIM in risk management for sustainable infrastructure, while Valdebenito and Forcael (2025) examined the integration of BIM with artificial intelligence for governance development [33], [34]. Sacks et al. (2018) emphasized the role of Common Data Environments (CDEs) in enabling real-time collaboration and reducing coordination errors, providing a benchmark for interoperability improvements [35]. Lee and Borrmann (2020) highlighted the importance of structured access protocols and compliance monitoring in BIM environments, directly informing discussions on security compliance [36]. Papadonikolaki et al. (2019) analyzed governance maturity through socio-technical perspectives, offering a theoretical foundation for BIM governance models [19]. These contributions demonstrate the growing need for frameworks that combine information management (ISO 19650) with governance maturity (DMBoK2), and the lack of direct integration highlights the uniqueness of the proposed ISO–DMBoK2 BIM Management Framework (IDBMF). Table 1 Comparative mapping of ISO 19650 and DMBoK2 dimensions, associated literature, and the integrated contribution of IDBMF. Dimension (IDBMF Phase) ISO 19650 Focus (Selected Studies) DMBoK2 Focus (Selected Studies) Integrated Gap (IDBMF Contribution) Standardization (Phase 01) Structured workflows, CDE protocols (Almeida et al., 2023; Ajayi et al., 2023; Abanda et al., 2025; Succar & Kassem, 2017) Metadata management, data quality (Ruslan et al., 2022; Yulfitri & Achmad, 2020; Liang et al., 2024) Unified documentation + glossary Interoperability (Phase 02) Exchange formats, collaboration protocols (Kaya & Özener, 2025; Panagiotidou et al., 2023; Sacks et al., 2018) Data integration & lifecycle management (Indriany et al., 2021; Cretu, 2025) Cross-platform synchronization Data Quality & Security (Phase 03) ISO 19650-5 security protocols (Chamochumbi, 2023; Brelih & Klinc, 2025; Lee & Borrmann, 2020) Data protection, access control (Steuperaert et al., 2025; Kamarulzaman et al., 2025) Combined audit + encryption layers Governance Maturity (Phase 04) Limited lifecycle adaptability (Godager et al., 2022; Ashworth et al., 2023; Papadonikolaki, 2019) Maturity models, organizational oversight (Domingues & Ribeiro, 2023; Santos et al., 2024; Swetha Talluri, 2025; Ruslan et al., 2022) Continuous evaluation loop Practical Applications BIM execution plans, project delivery (Pan et al., 2024; Rehman, 2025) Enterprise data governance, public institutions (Osu & Navarra, 2022; Cretu, 2025) Scalable BIM governance framework While ISO 19650 provides standardized BIM information management principles, DMBoK2 offers a broader governance perspective. The lack of studies directly integrating both frameworks highlights the originality of this research and positions the IDBMF as a structured, scalable contribution. This contribution is further clarified in Table 1 , which compares the focus dimensions of ISO 19650 and DMBoK2 and highlights the integrated gaps that the proposed framework addresses. 2.1 ISO 19650 The ISO 19650 series, published by the International Organization for Standardization (ISO), establishes an internationally recognized framework for information management within BIM workflows, ensuring structured data governance across the entire lifecycle of a built asset. This standard builds upon the foundational principles of BS 1192 and PAS 1192, aligning BIM practices with digitally integrated and collaborative environments [37], [38]. As illustrated in Fig. 1 , ISO 19650 consists of six key parts, each designed to refine specific aspects of BIM data management and governance: ISO 19650-1 : Concepts and principles governing BIM information management [39]. ISO 19650-2 : Detailed requirements for information management during the design and construction phases [40]. ISO 19650-3 : Guidelines for operational and facility management stages [41]. ISO 19650-4 : Validation mechanisms and compliance verification within BIM workflows [42]. ISO 19650-5 : Security protocols ensuring data protection in collaborative BIM environments [43]. ISO 19650-6 : Expands on health and safety information management, integrating BIM methodologies with risk assessment and hazard identification frameworks [44]. Collectively, these components define a structured approach to managing BIM data efficiently, ensuring standardization, accountability, and traceability throughout the lifecycle of a built asset. ISO 19650 structures BIM data management into a hierarchical framework, ensuring that information flows systematically across different project phases. A Common Data Environment (CDE) is established as a centralized repository, allowing for controlled data storage, retrieval, and sharing. As depicted in Fig. 2 , the key aspects of ISO 19650-driven BIM information management include: Information Requirements: Information requirements play a fundamental role in maintaining a standardized information flow in BIM environments. This principle ensures consistency and reliability by creating structured formats for requesting, documenting, and verifying data related to interdisciplinary BIM. By aligning data formats with Employer Information Requirements (EIR), project stakeholders can achieve a unified approach to information exchange, reduce inconsistencies, and improve decision-making processes. Common Data Environment (CDE) Implementation: The common data environment (CDE) implementation provides standardized data storage by offering version control and traceability throughout the BIM model's lifecycle. This structured repository facilitates real-time collaboration by allowing stakeholders to access, update, and validate BIM datasets within a controlled system. By centralizing data access and validation, the CDE improves efficiency and reduces interdisciplinary misunderstandings. Collaboration Protocols Across BIM Workflows: Collaboration protocols between BIM workflows establish well-defined exchange mechanisms that promote seamless interdisciplinary collaboration. These structured protocols ensure that BIM data remains consistent and accessible, reducing data fragmentation and siloed workflows. ISO 19650-2 protocols further enhance interoperability by improving data accuracy, verification processes, and integration mechanisms across multiple platforms, thus promoting a unified information governance structure. Compliance and Verification Mechanisms: Compliance and verification mechanisms play a critical role in ensuring the integrity and security of BIM data. Automated validation checks reduce errors and improve quality assurance throughout the project lifecycle, increasing data consistency and availability. ISO 19650-4 methodologies ensure that BIM workflows remain transparent, traceable, and compliant with regulatory requirements by providing a comprehensive framework to assess data integrity, security, and ensure adherence to industry standards. 2.2 DMBoK2 The Data Management Body of Knowledge (DMBoK) is a comprehensive framework developed by DAMA International to define cross-industry best practices in data management, security, and integration. It provides a foundation for effective information management by offering structured methodologies to ensure data quality and interoperability [10]. As presented in Fig. 3 , the second edition, DMBoK2, expands this framework by incorporating modern developments in the field of data management. It outlines 11 key knowledge areas, providing a systematic approach to governance, security, metadata management, and interoperability. The principles of DMBoK2 are closely aligned with BIM data workflows, enabling structured management models that enhance efficiency, compliance, and risk mitigation. By integrating DMBoK2 into BIM projects, organizations can transition from fragmented data applications to standardized information management, ensuring consistency across stakeholders and digital platforms [45]. As illustrated in Fig. 4 , the DMBoK2 summarizes 11 key knowledge areas that support effective data governance, security, and integration. The most suitable areas for BIM projects are: Data Governance: Establishing frameworks for planning, oversight, and control of data usage in projects. Data Integration & Interoperability: Managing how BIM data is exchanged, transformed, and validated across different systems. Data Security: Protecting sensitive project information from unauthorized access and data breaches. Metadata Management: Ensuring structured categorization, retrieval, and integration of BIM metadata. Data Quality Management: Implementing monitoring, maintenance, and improvement mechanisms for ensuring data integrity in BIM models. Additional knowledge areas covered in DMBoK2 include Data Architecture, Data Modeling & Design, Data Storage & Operations, Reference & Master Data Management, Data Warehousing & Business Intelligence, and Data Ethics. 2.3 Integrating ISO 19650 and DMBoK2 As depicted in Fig. 5 , integrating ISO 19650 with structured BIM information workflows and the data governance principles of DMBoK2 can lead to greater transparency, interoperability, and standardization in construction projects. The main benefits are: Stronger alignment between BIM data requirements and governance models, ensuring higher data integrity and security. Automated compliance mechanisms, allowing for seamless data validation within BIM platforms. Scalable data maturity models, enhancing long-term asset management strategies. These benefits demonstrate the necessity of integrating ISO 19650 and DMBoK2 to establish a scalable and governance-driven BIM data management model. 3. METHODOLOGY BIM projects often encounter fragmented data management, limited governance maturity, and security vulnerabilities. While ISO 19650 provides structured workflows, it does not fully address governance progress and lifecycle adaptability. DMBoK2, on the other hand, offers strong governance principles but lacks direct applicability to BIM. To address this gap, this study aims to develop and pilot-test the ISO-DMBoK2 BIM Management Framework (IDBMF), which integrates the structured workflows of ISO 19650 with the governance principles of DMBoK2. Research Design This study adopts the Design Science Research (DSR) approach. DSR is a widely used method for developing innovative frameworks in information systems and construction research and testing them in real-world contexts. This approach aims to contribute to theoretical knowledge while producing “research artifacts” such as models, methods, or systems to solve practical problems [46], [47], [48], [49]. In the BIM field, DSR has been applied to topics such as automated regulatory compliance checking, interoperability development, and digital twin integration [1], [50], [51]. Based on this methodological foundation, the current study is structured in three stages as illustrated in Fig. 6 . 1. Stage 01 - Framework Design In this stage, the structured workflows of ISO 19650 were conceptually matched with the governance areas of DMBoK2. As a result of this matching, points of alignment and gaps were identified, and a four-phase IDBMF model was designed, integrating the dimensions of documentation, interoperability, security, and maturity assessment. 2. Stage 02 - Pilot Implementation The designed framework was applied to a four-story reinforced concrete apartment project located in Cebeci, Çankaya, Ankara. The BIM model was developed using ArchiCAD and executed on the Common Data Environment (CDE), testing scalability, collaboration, and security mechanisms. 3. Stage 03 - Evaluation and Improvement In the final stage, the effectiveness of the framework was measured using KPIs derived from ISO 19650 and DMBoK2 principles. The findings were validated by an expert panel, supported by literature comparisons, and the framework was improved based on feedback to ensure stronger alignment and applicability. Case Context The pilot project is a four-story reinforced concrete apartment building with a total floor area of approximately 600 m². The BIM model was developed using ArchiCAD software and hosted on a CDE for collaboration. Stakeholders included architects, structural engineers, and project managers; approximately 1.00 GB of BIM data was shared during the project. Key Performance Indicators The effectiveness of the framework was measured using KPIs derived from ISO 19650 and DMBoK2 principles: Data Collection Data was collected over a six-month period, with monthly checkpoints. Roles were defined as BIM coordinators (documentation), interoperability managers (data exchange validation), IT specialists (security monitoring), and governance evaluators (maturity analysis). Validation The outputs of the framework were reviewed by an external panel of experts consisting of three BIM governance specialists. Inter-expert agreement was measured using Kendall's W coefficient, yielding a value of 0.74, indicating strong consensus. Ethical Considerations All project data was anonymized, and explicit permission was obtained from the participating organization. Sensitive information was excluded from the published content, ensuring compliance with ethical standards. Limitations The study is limited to a single case study conducted in a controlled environment. While the results demonstrate the potential of IDBMF, they cannot be directly generalized to different project types and organizational contexts. Multiple case studies are required for broader validation. 4. FRAMEWORK MODELLING This section presents the ISO–DMBoK2 BIM Management Framework (IDBMF), reconstructed using a layered circular model that emphasizes continuous feedback loops and iterative governance refinement. As illustrated in Fig. 7 . The framework consists of four key phases: Standardization, Interoperability, Data Quality and Security, and Governance Maturity. Each phase is designed to be compatible with ISO 19650's structured information management processes and DMBoK2's data governance areas. The circular approach highlights that BIM governance is not linear but evolves through ongoing audits, validation cycles, and lifecycle adaptability improvements. 4.1 Phase 01: Standardization This phase defines standard information requirements by aligning ISO 19650's structured documentation processes with DMBoK2's data architecture and metadata management principles. This ensures that information containers, file structures, and metadata definitions are managed consistently throughout the project lifecycle. The theoretical foundation of this phase lies in the idea that accurate, traceable, and well-structured documentation is a prerequisite for all governance activities. Integrating the EIR/BEP structure of ISO 19650 with the glossary and metadata standards of DMBoK2 reduces uncertainty, increases transparency, and strengthens interdisciplinary information flow. 4.2 Phase 02: Interoperability This phase integrates ISO 19650's Common Data Environment (CDE) structure with DMBoK2's data quality and lifecycle management principles to improve interdisciplinary data exchange. The theoretical logic is that interoperability depends on both technical standards and governance discipline. DMBoK2's emphasis on data quality, validation, and lifecycle control supports ISO 19650's coordination processes, thereby increasing model consistency, reducing fragmentation, and strengthening collaboration among stakeholders. 4.3 Phase 03: Data Quality & Security This phase combines ISO 19650's access control mechanisms with DMBoK2's data protection and security governance principles. Role-based access, encryption, privacy measures, and continuous monitoring of unauthorized access attempts are key components of this phase. The theoretical basis is that secure and high-quality information environments are essential for trustworthy BIM governance. DMBoK2's security and data quality domains enhance ISO 19650's layered security model, ensuring the protection, compliance, and operational resilience of BIM data. 4.4 Phase 04: Governance Maturity This phase presents a maturity-based assessment model that measures the development of BIM governance practices over time. Using KPIs such as documentation accuracy, interoperability efficiency, security compliance, and lifecycle adaptability, organizations can assess their governance performance. The validation arrow added to the diagram shows how continuous monitoring and feedback loops enhance governance maturity. This approach aligns with DMBoK2's emphasis on iterative development rather than static compliance. Each of the four phases is measured using specific performance indicators (KPIs) derived from ISO 19650 and DMBoK2 principles, ensuring that the framework is both theoretically and quantitatively verifiable. Phase 01 (Standardization) is assessed through Documentation Accuracy (DA), which measures the ratio of correct metadata entries to total metadata entries. Phase 02 (Interoperability) is evaluated using Interoperability Efficiency (IE), calculated by comparing coordination errors before and after implementation. Phase 03 (Data Quality & Security) is measured through Security Compliance (SC), defined as the proportion of prevented unauthorized access attempts relative to total attempts. Finally, Phase 04 (Governance Maturity) is assessed using Governance Maturity (GM), based on lifecycle adaptability and compliance audit progression. This structure demonstrates that IDBMF is not only a conceptual model but also a measurable, traceable, and continuously developable governance mechanism. 5. FINDINGS This section presents the findings obtained by applying the IDBMF to a four-story reinforced concrete apartment building project in Çankaya, Cebeci, Ankara. The project, modeled using ArchiCAD, was executed in accordance with the IDBMF's standardization, interoperability, data quality and security, and governance maturity phases, and the outputs of each phase were evaluated using quantitative indicators based on ISO 19650 and DMBoK2 principles. Project Overview and BIM Environment The project, illustrated in Fig. 8 , consists of two commercial units of 60 m² on the ground floor, residential units of 130 m² on the upper floors, and a reinforced concrete structural system with an optimized spatial design. The BIM model was developed using ArchiCAD software and executed with integrated workflows that facilitate interdisciplinary data sharing. Quantitative metrics presented in Appendix 1 demonstrate the effectiveness of the IDBMF across all four phases. Phase 01 Effective BIM data management relies on structured information management that ensures traceability, standardization, and metadata integrity. The IDBMF establishes a clear methodology for defining information requirements by aligning the structured workflows of ISO 19650 with the management standards of DMBoK2. This approach has reduced documentation errors, increased metadata accuracy, and strengthened interdisciplinary collaboration. The implementation of ISO 19650-compliant documentation protocols has ensured greater consistency in EIR and BEP processes. As shown in Table 2 , documentation consistency increased from 60% to 88% (+ 28%), metadata traceability rose from 55% to 90% (+ 35%), and model accuracy improved from 58% to 82% (+ 24%). These findings align with Ajayi et al. (2023)'s contribution to automation in ISO 19650 compliance. However, manual intervention is still required in some interdisciplinary transitions, indicating that standardization has not been fully achieved. Table 2 BIM documentation accuracy (before & after IDBMF implementation). Metric Pre-Implementation Post-Implementation Mean ± SD Unit Observed Change Model Accuracy 58 82 70 ± 12 % + 24 Documentation Consistency 60 88 74 ± 14 % + 28 Metadata Traceability 55 90 72 ± 18 % + 35 Metadata inconsistencies and incompatible terminology cause communication problems in BIM model integration. IDBMF has solved this problem by using a structured business glossary based on DMBoK2 metadata principles. As shown in Table 3 , classification accuracy for architectural components improved from 65% to 92% (+ 27%), structural elements from 60% to 90% (+ 30%), and commercial unit metadata from 58% to 88% (+ 30%). These developments are consistent with Panagiotidou et al. (2023)'s study emphasizing the importance of terminology standardization in BIM implementation plans. Table 3 BIM metadata classification performance (before & after IDBMF implementation). Metric Pre-Implementation Post-Implementation Mean ± SD Unit Observed Change Architectural Components 65 92 78 ± 14 % + 27 Structural Elements 60 90 75 ± 15 % + 30 Commercial Unit Metadata 58 88 73 ± 15 % + 30 Phase 01 demonstrated significant improvements in documentation and metadata management, but manual intervention is still required for some interdisciplinary transitions. This demonstrates that IDBMF has strong standardization capabilities but requires further development for full automation. Phase 02 Interoperability is critical for ensuring seamless communication and data exchange in BIM environments. The IDBMF integrates ISO 19650’s Common Data Environment (CDE) with DMBoK2’s structured governance principles to enhance cross-disciplinary collaboration. The implementation of real-time synchronization mechanisms has reduced model discrepancies and increased data consistency. A structured CDE has been created to increase data exchange efficiency. This environment has enabled real-time collaboration between architectural, structural, and MEP disciplines, allowing for less inconsistent work on synchronized BIM models. DMBoK2's interoperability mechanisms have regulated data flow, increased coordination accuracy, and minimized information loss. As shown in Table 4 , BIM model coordination errors decreased from 18% to 4%, representing a 77% reduction. Synchronization time dropped from 8 hours to 3.5 hours (-56%), while data exchange consistency improved from 65% to 92% (+ 27%). These findings are consistent with Panagiotidou et al. (2023)’s global review of BIM Implementation Plans. However, in some cases, synchronization time is still longer than expected, indicating that automation has not been fully optimized. Table 4 BIM data exchange efficiency (before & after IDBMF implementation). Metric Pre-Implementation Post-Implementation Mean ± SD Unit Observed Change BIM Model Coordination Errors 18 4 11 ± 7 % -77 Model Synchronization Time (hours) 8 3.5 5.8 ± 2.2 hours -56 Data Exchange Consistency 65 92 78 ± 13 % + 27 Automated validation enhanced BIM model accuracy, metadata consistency, and security compliance, minimizing manual errors and improving workflow efficiency. As shown in Table 5 , metadata consistency increased from 62% to 91% (+ 29%), security compliance rose from 68% to 95% (+ 27%), and verification speed improved by 70%, reducing processing time from 10 to 3 hours. These improvements support Brelih & Klinc (2025)’s work on CDE-based security and validation mechanisms. Yet, some users still relied on manual verification, indicating that automated systems were not fully integrated. Table 5 BIM automated validation performance (before & after IDBMF implementation). Metric Pre-Implementation Post-Implementation Mean ± SD Unit Observed Change Metadata Consistency 62 91 76 ± 15 % + 29 Error Detection Manual Automated – – Transition Security Compliance 68 95 81 ± 14 % + 27 Verification Speed 10 3 6.5 ± 3.5 hours -70 Phase 02 demonstrated significant improvements in interoperability and validation, but certain limitations such as extended synchronization times and reliance on manual verification highlight the need for further optimization of IDBMF’s interoperability capacity. Phase 03 Ensuring data quality and security is critical to maintaining BIM model integrity and preventing unauthorized changes. The IDBMF integrates multi-layered security protocols to enhance data protection, compliance accuracy, and auditing mechanisms. The combination of ISO 19650-5 access controls and DMBoK2 encryption protocols significantly reduced vulnerabilities. As shown in Table 6 , unauthorized access attempts dropped from 35 to 3 per month (-92%), data loss incidents decreased from 8 to 1 (-88%), and compliance accuracy improved from 68% to 94% (+ 26%). These findings support Brelih & Klinc (2025)’s study on CDE-based security mechanisms. However, some users still require manual verification processes, showing that security controls are not fully integrated with automation. Table 6 BIM security performance (before & after IDBMF implementation). Metric Pre-Implementation Post-Implementation Mean ± SD Unit Observed Change Unauthorized Access Attempts 35 3 19 ± 16 cases/month -92 Data Loss Events 8 1 4.5 ± 3.5 incidents/month -88 Compliance Accuracy 68 94 81 ± 13 % + 26 Automated auditing mechanisms improved compliance accuracy and reduced risks. As shown in Table 7 , audit success rates increased from 67% to 92% (+ 25%), real-time verification accuracy rose from 70% to 96% (+ 26%), and regulatory compliance issues dropped from 12 to 3 per month (-75%). These improvements are consistent with Swetha Talluri (2025)’s work highlighting the contribution of automation to BIM compliance processes. However, the continued need for manual intervention in some cases indicates that compliance mechanisms are not fully integrated with automation. Table 7 BIM compliance performance (before & after IDBMF implementation). Metric Pre-Implementation Post-Implementation Mean ± SD Unit Observed Change Audit Success Rate 67 92 79 ± 13 % + 25 Real-Time Verification Accuracy 70 96 83 ± 13 % + 26 Regulatory Compliance Issues 12 3 7.5 ± 4.5 cases/month -75 Manual Intervention in Compliance Checks High Low – – Reduction Phase 03 demonstrated significant improvements in data security and compliance accuracy, but reliance on manual verification highlights the need for further automation to fully optimize IDBMF’s security and compliance capacity. Phase 04 The scalability and adaptability of BIM data governance are critical to long-term project success. The IDBMF establishes a progressive maturity model, enabling structured evaluation and continuous improvement of governance processes over time. The IDBMF applied DMBoK2’s maturity model, allowing BIM projects to progress from basic governance structures to advanced data management methodologies. Structured evaluation improved standardization, interoperability, security, and governance maturity. As show in Table 8 , the initial phase score rose from 45% to 82% (+ 37%), the intermediate phase improved from 60% to 90% (+ 30%), and the advanced phase increased from 72% to 97% (+ 25%). These findings are consistent with Swetha Talluri (2025)’s maturity assessments in BIM governance. However, smaller-scale projects demonstrated limited improvement, indicating that the scalability of IDBMF may vary depending on the project type. Table 8 BIM data maturity (before & after IDBMF implementation). Metric Pre-Implementation Post-Implementation Mean ± SD Unit Observed Change Initial Phase 45 82 63 ± 19 % + 37 Intermediate Phase 60 90 75 ± 15 % + 30 Advanced Phase 72 97 84 ± 13 % + 25 Structured analytics strengthened BIM lifecycle management by improving traceability, automation, and adaptability. The integration of monitoring, predictive analytics, and automated workflows enhanced oversight and consistency. As show in Table 9 , data traceability increased from 58% to 89% (+ 31%), predictive analytics accuracy rose from 65% to 93% (+ 28%), automation in data processing advanced from “moderate” to “high,” and governance adaptability improved from 60% to 91% (+ 31%). These developments enhanced the adaptability of BIM models in dynamic project environments and supported sustainability in long-term asset management. However, the automation remaining limited in some processes indicates that IDBMF requires further optimization in life cycle management. Table 9 BIM Data lifecycle management performance (before & after IDBMF implementation). Metric Pre-Implementation Post-Implementation Mean ± SD Unit Observed Change Data Traceability 58 89 73 ± 15 % + 31 Predictive Analytics Accuracy 65 93 79 ± 14 % + 28 Automation in Data Processing Moderate High – – Transition Governance Adaptability 60 91 76 ± 15 % + 31 Phase 04 demonstrated significant improvements in governance maturity and lifecycle management, but limitations in smaller-scale projects and partial automation highlight the need for further refinement to ensure scalability across diverse BIM contexts. 6. RESULTS This section presents the observed outcomes obtained from the four-phase implementation of IDBMF. To highlight the overall impact, Table 10 provides a comprehensive summary of ISO 19650 integration, DMBoK2 knowledge areas, key improvements, and observed impacts. Narrative Highlights The four-phase implementation of IDBMF produced observed improvements across documentation, interoperability, security, and governance maturity. Phase 01 demonstrated significant gains in documentation accuracy and metadata traceability, although manual intervention was still required in some interdisciplinary transitions. Phase 02 showed notable progress in interoperability; nevertheless, synchronization time remained longer than expected in some workflows, indicating that automation was not fully optimized. Phase 03 strengthened data security and compliance mechanisms; however, some users continued to rely on manual verification, reflecting the lack of integration of automated controls. Finally, Phase 04 showed clear progression in governance maturity, though smaller-scale projects exhibited limited scalability, suggesting that adaptability may vary depending on project size. Neutral and Negative Observations In addition to the observed improvements, several neutral or negative effects were also identified during implementation. The documentation workload increased by approximately 15% during the transition period due to retraining requirements. Despite the implementation of automated mechanisms, synchronization delays persisted in some workflows. Manual verification was still required in compliance checks, highlighting areas where automation remains insufficient. Furthermore, governance scalability varied depending on project size, with maturity progress remaining more limited in small projects. Table 10 Overview of the four-phase implementation of IDBMF. Phase ISO 19650 Integration DMBoK2 Knowledge Area Key Improvements Observed Impact Phase 01 Structured documentation workflows (EIR, BEP compliance) Metadata governance & traceability Standardized documentation protocols, improved metadata consistency Documentation accuracy: 60% → 88% (+ 28%); Metadata traceability: 55% → 90% (+ 35%) Phase 02 Common Data Environment (CDE) for real-time collaboration Data integration & interoperability models Automated model synchronization, reduced interdisciplinary discrepancies Coordination errors: 18% → 4% (-77%); Synchronization time: 8h → 3.5h (-56%); Data exchange consistency: 65% → 92% (+ 27%) Phase 03 ISO 19650-5 security access protocols Data security & compliance monitoring Encryption-based protection, automated auditing workflows Unauthorized access attempts: 35 → 3 cases/month (-92%); Data loss: 8 → 1 incidents/month (-88%); Compliance accuracy: 68% → 94% (+ 26%) Phase 04 Governance maturity evaluation aligned with ISO standards Data lifecycle management & scalability Scalable governance models, predictive analytics for structured BIM adaptation Governance maturity: Initial 45% → 82% (+ 37%); Intermediate 60% → 90% (+ 30%); Advanced 72% → 97% (+ 25%); Lifecycle adaptability: 60% → 91% (+ 31%) 7. DISCUSSION This section discusses the outcomes of IDBMF implementation, compared with the sources presented in the literature review and structured around four phases. These comparisons are summarized in Table 11 . The improvements in documentation accuracy and metadata traceability observed in Phase 01 align with the error-reducing effect of ISO 19650-compliant workflows highlighted by Succar & Kassem (2017). Our findings show a 28% increase in consistency and 35% metadata traceability. However, manual intervention was still required during interdisciplinary transitions. This divergence may be attributed to the controlled environment of our case study and the smaller dataset, which limited full automation. Additionally, Ajayi et al. (2023) demonstrated how compliance with ISO 19650 naming conventions is facilitated by automation. This study supports that IDBMF enhances documentation accuracy but may increase transition workload. Phase 02 achieved significant gains in interoperability. These findings align with the role of Common Data Environments (CDE) in facilitating real-time collaboration, as highlighted by Sacks et al. (2018). Our findings show a 77% reduction in coordination errors and a 56% decrease in synchronization time. However, synchronization delays persisted in some workflows. This can be explained by the integrated governance principle of IDBMF, which introduced additional metadata checks that extended synchronization processes. Similarly, Panagiotidou et al. (2023) highlighted in their global review of BIM Implementation Plans that ISO 19650 compliance is critical for interoperability. This demonstrates that IDBMF has strengthened collaboration but that synchronization processes need to be further optimized. The security improvements in Phase 03 align with the structured access protocols and compliance monitoring mechanisms highlighted by Lee & Borrmann (2020). Our findings show a 92% reduction in unauthorized access attempts and a 26% increase in compliance accuracy. This difference can be explained by the controlled scope of our study and the partial automation implementation. Additionally, Brelih & Klinc (2025) examined security and privacy mechanisms in CDE-based BIM collaboration and presented results supporting the findings of IDBMF Phase 03. Progress in governance maturity was observed in Phase 04. These findings are consistent with the governance maturity analysis conducted from a socio-technical perspective by Papadonikolaki et al. (2019), the maturity model comparison framework proposed by Domingues & Ribeiro (2023), and the BIM-specific maturity model developed by Santos et al. (2024). Our findings show an initial development of 37%, an intermediate level of 30%, and an advanced level of 25%. However, limited scalability was observed in small-scale projects. This discrepancy can be explained by the single case and controlled scope of our study. Furthermore, Swetha Talluri (2025) emphasized that maturity assessments are critical for organizational oversight, indicating that IDBMF's scalability issues are a common theme in the literature. Table 11 Comparison of IDBMF findings with literature references. Phase Observed Findings (IDBMF) Reference Key Difference Phase 01 + 28% consistency, + 35% traceability Succar & Kassem (2017); Ajayi et al. (2023) Manual intervention still required; transitional workload increase Phase 02 -77% errors, -56% sync time Sacks et al. (2018); Panagiotidou et al. (2023) Delays due to governance checks Phase 03 -92% unauthorized access, + 26% compliance Lee & Borrmann (2020); Brelih & Klinc (2025) Continued manual verification Phase 04 + 37% initial, + 30% intermediate, + 25% advanced Papadonikolaki (2019); Domingues & Ribeiro (2023); Santos et al. (2024); Swetha Talluri (2025) Limited scalability in small projects 8. CONCLUSION This study demonstrated the potential of integrating ISO 19650 standards with DMBoK2 principles to enhance BIM data documentation, interoperability, and governance maturity. The proposed IDBMF framework achieved measurable improvements in documentation accuracy, synchronization efficiency, security compliance, and maturity progression by integrating governance models into procedural workflows. This research contributes at three levels. Conceptually, it develops a novel framework that combines the structured workflows of ISO 19650 with the governance principles of DMBoK2. Methodologically, it ensures the systematic testing of the framework by applying a phased evaluation approach. Practically, it offers actionable recommendations for BEP compliance audits, national BIM standardization, and scalable governance models for project delivery organizations. The findings of this study are based on a single case study and a controlled environment. This limits the generalizability of the results and highlights the need for broader validation across different project types and organizational contexts. Future Research Future research should advance in three main axes. First, multiple case comparative tests should be conducted across different scales and sectors. Second, longitudinal maturity analyses should be performed to assess the progression of governance maturity over time. Finally, automation, compliance monitoring, and predictive analytics should be enhanced through the integration of AI-based data auditing. SYMBOLS AND ABBREVIATIONS AI : Artificial Intelligence BEP : BIM Execution Plans BIM : Building Information Modelling CDE : Common Data Environment DMBoK : Data Management Body of Knowledge EIR : Employer Information Requirements IDBMF : ISO-DMBoK2 BIM Management Framework IFC : Industry Foundation Classes ISO : International Organization for Standardization KPI : Key Performance Indicators LOD : Level of Development Declarations ACKNOWLEDGEMENTS The author would like to express sincere thanks to Diana Zhao, Senior Managing Editor at Springer Nature, for her kind invitation and professional support throughout the manuscript preparation and submission stages. The author also appreciates the editorial guidance provided by the Discover Civil Engineering team during the review process. The author used AI-assisted language editing tools exclusively to enhance clarity and ensure alignment with academic conventions. These tools played no role in the research design, data analysis, or intellectual interpretation. All academic contributions and insights presented in this study are the result of the author’s original scholarly work. Author contributions Murat Aydın: Conceptualization, Methodology, Case Study Implementation, Validation, Visualization, Writing – Original Draft, Writing – Review & Editing. Funding This research received no external funding. Data availability The data supporting the findings of this study are included within the article and are available from the author upon reasonable request. Clinical trial number Not applicable. Ethics approval and consent to participate Not applicable. Consent for publication Not applicable. Competing interests The author declares that he has no competing interests. References M. Aydın, “Enhancing BIM Process Automation and Traceability through ISO 21597-Based Information Containers,” in 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) , IEEE, Aug. 2025, pp. 1–7. doi: 10.1109/ACDSA65407.2025.11166637. M. Aydın, “A Semantic Compliance Tracking Framework for BIM Workflows Based on ISO 21597 and SHACL,” in 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) , IEEE, Aug. 2025, pp. 1–6. doi: 10.1109/ACDSA65407.2025.11166396. M. Aydın, “Proposing a Five-Phase Framework Based on ISO 23247-1 for Digital Twins in Construction,” Gazi Univ. J. Sci. Part A Eng. Innov. , vol. 12, no. 2, pp. 403–431, 2025, doi: 10.54287/gujsa.1680674. R. Almeida, L. Chaves, M. Silva, M. Carvalho, and L. Caldas, “Integration between BIM and EPDs: Evaluation of the main difficulties and proposal of a framework based on ISO 19650:2018,” J. Build. Eng. , vol. 68, p. 106091, Jun. 2023, doi: 10.1016/j.jobe.2023.106091. S. O. Ajayi, F. Oyebiyi, and H. A. Alaka, “Facilitating compliance with BIM ISO 19650 naming convention through automation,” J. Eng. Des. Technol. , vol. 21, no. 1, pp. 108–129, Jan. 2023, doi: 10.1108/JEDT-03-2021-0138. F. H. Abanda, B. Balu, S. E. Adukpo, and A. Akintola, “Decoding ISO 19650 Through Process Modelling for Information Management and Stakeholder Communication in BIM,” Buildings , vol. 15, no. 3, p. 431, Jan. 2025, doi: 10.3390/buildings15030431. M. Kassem and B. Succar, “Macro BIM adoption: Comparative market analysis,” Autom. Constr. , vol. 81, pp. 286–299, Sep. 2017, doi: 10.1016/j.autcon.2017.04.005. U. Kaya and O. Ö. Özener, “A strategic evaluation of BIM-driven information management in the context of ISO 19650-2 standard,” Eng. Constr. Archit. Manag. , vol. 32, no. 11, pp. 7857–7886, Nov. 2025, doi: 10.1108/ECAM-03-2024-0387. N. Panagiotidou, M. Pitt, and Q. Lu, “Building information modelling execution plans: a global review,” Proc. Inst. Civ. Eng. - Smart Infrastruct. Constr. , vol. 176, no. 3, pp. 126–147, Sep. 2023, doi: 10.1680/jsmic.22.00012. M. Mosley and D. International, The DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBoK) . Technics Publications, LLC, 2010. [Online]. Available: https://www.google.com.tr/books/edition/_/_0uMtAEACAAJ?hl=tr&sa=X&ved=2ahUKEwiouLLwivKNAxXc9rsIHcYGKd0Qre8FegQIDhAM I. F. Ruslan, M. F. Alby, and M. Lubis, “Applying Data Governance using DAMA-DMBOK 2 Framework: The Case for Human Capital Management Operations,” in Proceedings of the 8th International Conference on Industrial and Business Engineering , New York, NY, USA: ACM, Sep. 2022, pp. 336–342. doi: 10.1145/3568834.3568866. A. Yulfitri and Y. F. Achmad, “Analysis of Pranata Computer’s Data Governance Activities based on DAMADMBOK 2,” J. Rekayasa Sist. Ind. , vol. 7, no. 1, p. 50, Jun. 2020, doi: 10.25124/jrsi.v7i1.393. Y. Liang et al. , “Research on Theory and Practice of Data Quality Management,” SHS Web Conf. , vol. 187, p. 03024, Mar. 2024, doi: 10.1051/shsconf/202418703024. V. Cretu, “Future-ready public institutions: rethinking data governance through maturity assessment,” Econ. Sociol. , no. 1, pp. 43–59, Sep. 2025, doi: 10.36004/nier.es.2025.1-04. H. S. Indriany, A. N. Hidayanto, L. J. Wantania, B. Santoso, W. U. Putri, and W. Pinuri, “Data Quality Management Maturity: Case Study National Narcotics Board,” in 2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT) , IEEE, Jul. 2021, pp. 206–212. doi: 10.1109/COMNETSAT53002.2021.9530824. D. Steuperaert, G. Poels, and J. Devos, “A Reference Model for Information Quality in an it Governance Context,” Inf. Syst. Manag. , vol. 42, no. 3, pp. 346–364, Jun. 2025, doi: 10.1080/10580530.2025.2477455. L. Domingues and P. Ribeiro, “Project Management Maturity Models: Proposal of a Framework for Models Comparison,” Procedia Comput. Sci. , vol. 219, pp. 2011–2018, 2023, doi: 10.1016/j.procs.2023.01.502. E. R. dos Santos, M. S. Salgado, and S. Scheer, “Maturity Model for Building Information Management and Security,” in Proc. of the CIB W78 Conference 2024 , Marrakesh, Morocco, 2024, pp. 1–8. [Online]. Available: https://www.researchgate.net/profile/Eduardo-Ribeiro-Dos-Santos-2/publication/392658033_Maturity_Model_for_Building_Information_Management_and_Security/links/684c3ce5df3fa4286a409bfb/Maturity-Model-for-Building-Information-Management-and-Security.pdf E. Papadonikolaki, C. van Oel, and M. Kagioglou, “Organising and Managing boundaries: A structurational view of collaboration with Building Information Modelling (BIM),” Int. J. Proj. Manag. , vol. 37, no. 3, pp. 378–394, Apr. 2019, doi: 10.1016/j.ijproman.2019.01.010. M. R. Kamarulzaman, A. N. Ismail, I. K. Abdul Kadir, M. A. Mazlan, and A. Mohd Yunos, “Implementing Data Governance To enhance Data Management at Higher Institution: UiTM Data Governance Framework.,” J. Inf. Knowl. Manag. , vol. 15, no. SI2, pp. 240–251, Aug. 2025, doi: 10.24191/jikm.v15iSI2.7390. R. P. Brahmantara, D. Y. Hutapea, and Y. Ruldeviyani, “Evaluation on Data Operations Management using CMMI and DMBOK: BDPJN Case Study,” in 2021 9th International Conference on Cyber and IT Service Management (CITSM) , IEEE, Sep. 2021, pp. 1–6. doi: 10.1109/CITSM52892.2021.9588888. A. K. Saputra, R. Muhida, Y. Aprilinda, and F. Ariani, “Maturity Level Assesment Tata Kelola Data Bantuan Sosial Menggunakan Domain Data Governance DAMA-DMBOK,” Explor. J. Sist. Inf. dan Telemat. , vol. 14, no. 2, p. 177, Dec. 2023, doi: 10.36448/jsit.v14i2.3355. A. Ismail, A. I. Suroso, and I. Hermadi, “Data Governance Design with the DAMA-DMBOK Framework (Case Study: PT. XYZ),” Int. J. Res. Rev. , vol. 11, no. 8, pp. 210–221, Aug. 2024, doi: 10.52403/ijrr.20240823. R. Rahmawati, Y. Ruldeviyani, P. P. Abdullah, and F. M. Hudoarma, “Strategies to Improve Data Quality Management Using Total Data Quality Management (TDQM) and Data Management Body of Knowledge (DMBOK): A Case Study of M-Passport Application,” CommIT (Communication Inf. Technol. J. , vol. 17, no. 1, pp. 27–42, Mar. 2023, doi: 10.21512/commit.v17i1.8330. I. Gordon and N. Thompson, “Radical Technologies,” in Data and the Built Environment: A Practical Guide to Building a Better World Using Data , Springer, 2024, pp. 239–337. doi: 10.1007/978-3-031-51008-3_6. I. Gordon and N. Thompson, “Delivering Data Capability,” in Data and the Built Environment: A Practical Guide to Building a Better World Using Data , Springer, 2024, pp. 199–238. doi: 10.1007/978-3-031-51008-3_5. I. Gordon and N. Thompson, “Data and Organisational Culture,” in Data and the Built Environment: A Practical Guide to Building a Better World Using Data , Springer, 2024, pp. 141–197. doi: 10.1007/978-3-031-51008-3_4. Swetha Talluri, “Master data management: A strategic imperative for enterprise data governance,” World J. Adv. Eng. Technol. Sci. , vol. 15, no. 3, pp. 136–148, Jun. 2025, doi: 10.30574/wjaets.2025.15.3.0902. A. Brelih and R. Klinc, “Building digital trust in CDE-based BIM workflows: Key strategies,” J. Inf. Technol. Constr. , vol. 30, pp. 524–543, 2025, [Online]. Available: https://api.semanticscholar.org/CorpusID:277538971 R. Brandín and S. Abrishami, “Securing information flow: a data traceability schema – dtsBC for IoT, BIM and blockchain integrations,” Smart Sustain. Built Environ. , pp. 1–35, Oct. 2025, doi: 10.1108/SASBE-01-2025-0040. A. Sompolgrunk, S. Banihashemi, H. Golzad, and H. Liu, “Curating the underlying dynamics of successfully aligning big BIM data: a strategic alignment approach,” Built Environ. Proj. Asset Manag. , pp. 1–20, Aug. 2025, doi: 10.1108/BEPAM-01-2025-0046. A. A. Hijazi and P. Das, “Smart city UK: integrating BIM and IoT under digital built Britain strategy,” Infrastruct. Asset Manag. , Aug. 2025, doi: 10.1680/jinam.24.00008. A. Rehman, “THE ROLE OF BUILDING INFORMATION MODELING (BIM) IN RISK MANAGEMENT FOR SUSTAINABLE BRIDGE PROJECTS: A SYSTEMATIC REVIEW AND META-ANALYSIS,” J. Sustain. Dev. Policy , vol. 01, no. 01, pp. 198–223, Mar. 2025, doi: 10.63125/d37g1237. R. Valdebenito and E. Forcael, “Integrating Artificial Intelligence and BIM in Construction: Systematic Review and Quantitative Comparative Analysis,” Appl. Sci. , vol. 15, no. 23, p. 12470, Nov. 2025, doi: 10.3390/app152312470. R. Sacks, C. Eastman, G. Lee, and P. Teicholz, BIM Handbook . Wiley, 2018. doi: 10.1002/9781119287568. G. Lee and A. Borrmann, “BIM policy and management,” Constr. Manag. Econ. , vol. 38, no. 5, pp. 413–419, May 2020, doi: 10.1080/01446193.2020.1726979. BS1192, “BS 1192: Collaborative production of architectural, engineering and construction information,” The British Standards Institution. [Online]. Available: https://www.operam.co.uk/bs-1192/#:~:text=BS 1192 is the original,of information (aka BIM). PAS1192-2, “PAS 1192-2: Specification for information management for the capital/delivery phase of construction projects using building information modelling.,” The British Standards Institution. [Online]. Available: https://www.operam.co.uk/pas-1192-2/#:~:text=PAS 1192-2 is the,the delivery phase of assets. ISO19650-1, “ISO 19650-1:2018 Part 1: Concepts and principles,” ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/68078.html ISO19650-2, “ISO 19650-2:2018 Part 2: Delivery phase of the assets,” ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/68080.html ISO19650-3, “ISO 19650-3:2020 Part 3: Operational phase of the assets,” ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/75109.html ISO19650-4, “ISO 19650-4:2022 Part 4: Information exchange,” ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/78246.html ISO19650-5, “ISO 19650-5:2020 Part 5: Security-minded approach to information management,” ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/74206.html ISO19650-6, “ISO 19650-6:2025 Part 6: Health and safety information,” ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/82705.html D. International and D. M. Association, The DAMA Guide to the Data Management Body of Knowledge 2nd Edition (DAMA-DMBoK2) . Technics Publications, LLC, 2017. [Online]. Available: https://www.google.com.tr/books/edition/_/YjacswEACAAJ?hl=tr&sa=X&ved=2ahUKEwiouLLwivKNAxXc9rsIHcYGKd0Qre8FegQIDhAJ Hevner, March, Park, and Ram, “Design Science in Information Systems Research,” MIS Q. , vol. 28, no. 1, p. 75, 2004, doi: 10.2307/25148625. K. Peffers, T. Tuunanen, M. A. Rothenberger, and S. Chatterjee, “A Design Science Research Methodology for Information Systems Research,” J. Manag. Inf. Syst. , vol. 24, no. 3, pp. 45–77, Dec. 2007, doi: 10.2753/MIS0742-1222240302. P. Johannesson and E. Perjons, “A Method Framework for Design Science Research,” in An Introduction to Design Science , Cham: Springer International Publishing, 2014, pp. 75–89. doi: 10.1007/978-3-319-10632-8_4. S. Gregor and A. R. Hevner, “Positioning and Presenting Design Science Research for Maximum Impact,” MIS Q. , vol. 37, no. 2, pp. 337–355, Feb. 2013, doi: 10.25300/MISQ/2013/37.2.01. C. Preidel and A. A. Borrmann, “Towards code compliance checking on the basis of a visual programming language,” J. Inf. Technol. Constr. , vol. 21, no. 25, pp. 402–421, Nov. 2016, doi: http://www.itcon.org/2016/25. ISSN 1874-4753. D. Calvetti, P. Mêda, E. Hjelseth, and H. de Sousa, “Incremental digital twin framework: A design science research approach for practical deployment,” Autom. Constr. , vol. 170, p. 105954, Feb. 2025, doi: 10.1016/j.autcon.2024.105954. Additional Declarations No competing interests reported. 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09:54:14","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9049000/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9049000/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105563089,"identity":"2cd584b5-ef8f-43ec-b8be-2ddc87a5dabf","added_by":"auto","created_at":"2026-03-27 12:45:54","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":41894,"visible":true,"origin":"","legend":"\u003cp\u003eTimeline of ISO 19650 series and BIM information governance.\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-9049000/v1/b948a309c4a28bfd2476f01e.jpg"},{"id":105562852,"identity":"3e49182c-9fc8-4dc5-a53a-1d910c954109","added_by":"auto","created_at":"2026-03-27 12:44:57","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":96287,"visible":true,"origin":"","legend":"\u003cp\u003eISO 19650 framework.\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-9049000/v1/398a38e7b1e0cfe8bf5712cc.jpg"},{"id":105562730,"identity":"a84351cc-69a6-4e36-92e2-d8aa41064ead","added_by":"auto","created_at":"2026-03-27 12:44:23","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":39149,"visible":true,"origin":"","legend":"\u003cp\u003eTimeline of data management body of knowledge.\u003c/p\u003e","description":"","filename":"3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-9049000/v1/47bf8531e2aa30c76e93a8e4.jpg"},{"id":105057719,"identity":"d8920be7-1c2d-4135-9103-4cc2f725481f","added_by":"auto","created_at":"2026-03-20 12:06:36","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":124779,"visible":true,"origin":"","legend":"\u003cp\u003eDMBoK2 knowledge areas.\u003c/p\u003e","description":"","filename":"4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-9049000/v1/c3b35274a8e01aa8d37d78ff.jpg"},{"id":105057725,"identity":"5809a129-ba98-4a00-9d9b-d2f484c19a2a","added_by":"auto","created_at":"2026-03-20 12:06:37","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":78439,"visible":true,"origin":"","legend":"\u003cp\u003eIntegration of ISO 19650 and DMBoK2 in construction projects.\u003c/p\u003e","description":"","filename":"5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-9049000/v1/4b40a521e207dccaadee9351.jpg"},{"id":105057721,"identity":"013c9e3a-0803-423f-8dda-8218470f9ac2","added_by":"auto","created_at":"2026-03-20 12:06:36","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":187331,"visible":true,"origin":"","legend":"\u003cp\u003eMethodology of IDBMF development process.\u003c/p\u003e","description":"","filename":"6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-9049000/v1/c39c06888d395ea88b5e02bc.jpg"},{"id":105057727,"identity":"519258fc-6dc2-449f-bbbd-82fa2e3a5bfb","added_by":"auto","created_at":"2026-03-20 12:06:37","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":244352,"visible":true,"origin":"","legend":"\u003cp\u003eLayered circular modelling of the ISO–DMBoK2 integrated BIM management framework (IDBMF).\u003c/p\u003e","description":"","filename":"7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-9049000/v1/548eaaf007f408fc406db8ca.jpg"},{"id":105057723,"identity":"32e984f5-cf0e-423a-91a9-89c28736b5d0","added_by":"auto","created_at":"2026-03-20 12:06:36","extension":"jpg","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":268926,"visible":true,"origin":"","legend":"\u003cp\u003eThe four-story reinforced concrete apartment project.\u003c/p\u003e","description":"","filename":"8.jpg","url":"https://assets-eu.researchsquare.com/files/rs-9049000/v1/080f1b35a1ef0b8a3d4104d6.jpg"},{"id":105727939,"identity":"d0b62099-a772-4e5a-9572-4a9cd4e5bf7b","added_by":"auto","created_at":"2026-03-30 11:06:04","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2579782,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9049000/v1/884a52a3-7d16-408e-a714-dbd993d1faa2.pdf"},{"id":105562743,"identity":"93a1bbbf-dba0-4d7d-8fee-ed58e5b4a1a8","added_by":"auto","created_at":"2026-03-27 12:44:29","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":44483,"visible":true,"origin":"","legend":"","description":"","filename":"00MCER01AppendixISO19650DMBoK22025.12.08.docx","url":"https://assets-eu.researchsquare.com/files/rs-9049000/v1/be7f887d5bcab321697421e6.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Developing an ISO–DMBoK2 Integrated Framework for BIM Data Governance: Conceptual Model and Pilot Demonstration","fulltext":[{"header":"1. INTRODUCTION","content":"\u003cp\u003eIn the construction industry, where digital transformation is accelerating, Building Information Modeling (BIM) has become a fundamental method for organizing information flow throughout the building lifecycle. BIM is based on a structured information management approach that enhances interdisciplinary coordination, traceability, and decision-making processes [1], [2], [3] In this context, ISO 19650 has established a global reference point for standardized information management in BIM environments [4], [5], [6], [7]. However, while ISO 19650 is strong in documentation and process standardization, it remains limited in areas such as governance maturity, security mechanisms, and long-term data lifecycle management [8], [9].\u003c/p\u003e \u003cp\u003eMoreover, the Data Management Body of Knowledge (DMBoK2) provides comprehensive principles for data governance, security, metadata management, and maturity development. however, it is not directly compatible with BIM-specific workflows [10], [11], [12], [13]. Current studies generally focus either on BIM information management (ISO 19650) or enterprise data governance (DMBoK2), but do not offer an approach that integrates these two areas. This increases the mismatch between structured information management and governance maturity models in BIM projects and creates a critical gap in the industry [14], [15], [16].\u003c/p\u003e \u003cp\u003eThe aim of this study is to develop an integrated BIM data governance model (IDBMF) that combines the structured information management processes of ISO 19650 with the governance principles of DMBoK2 and to test it with a pilot application. The proposed framework consists of four phases: Standardization, Interoperability, Data Quality and Security, and Governance Maturity, and aims to systematically improve documentation accuracy, interdisciplinary data exchange, security compliance, and lifecycle adaptation in BIM environments.\u003c/p\u003e \u003cp\u003eThe study pursues the following measurable objectives:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eTo create a standardized BIM data governance model by aligning ISO 19650 documentation processes with DMBoK2 metadata and data architecture principles.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eTo enhance interdisciplinary interoperability through structured data exchange, validation, and lifecycle management mechanisms.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eTo strengthen BIM data security and compliance by integrating ISO 19650 5 access control protocols with DMBoK2 security governance.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eTo implement a maturity-based assessment model that enables continuous monitoring of BIM governance performance.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eThe novelty of this study lies in its systematic integration of ISO 19650 and DMBoK2, bridging the long-standing gap between BIM information management and enterprise data governance. While existing BIM governance models typically focus on either process standardization or organizational maturity, the IDBMF offers a scalable and measurable approach that encompasses both dimensions. This integrated structure produces a holistic solution for BIM data management by combining the process-oriented structure of ISO 19650 with the governance-oriented knowledge areas of DMBoK2 [17], [18], [19].\u003c/p\u003e \u003cp\u003eThis study consists of eight sections. Section \u003cspan refid=\"Sec2\" class=\"InternalRef\"\u003e2\u003c/span\u003e reviews the literature on BIM information management, data governance, and maturity models, highlighting the conceptual gap between ISO 19650 and DMBoK2. Section \u003cspan refid=\"Sec6\" class=\"InternalRef\"\u003e3\u003c/span\u003e explains the Design Science Research (DSR) methodology used in the study and the development process of IDBMF. Section \u003cspan refid=\"Sec10\" class=\"InternalRef\"\u003e4\u003c/span\u003e details the four-phase IDBMF model, which integrates ISO 19650 processes with DMBoK2 governance areas. Section \u003cspan refid=\"Sec15\" class=\"InternalRef\"\u003e5\u003c/span\u003e describes the application of the framework to a four-story reinforced concrete apartment building project and the pilot testing process. Section \u003cspan refid=\"Sec16\" class=\"InternalRef\"\u003e6\u003c/span\u003e presents findings based on quantitative indicators such as documentation accuracy, interoperability efficiency, security compliance, and governance maturity. Section \u003cspan refid=\"Sec17\" class=\"InternalRef\"\u003e7\u003c/span\u003e discusses the contributions of the framework by relating these findings to the existing literature. Finally, Section \u003cspan refid=\"Sec18\" class=\"InternalRef\"\u003e8\u003c/span\u003e summarizes the results of the study and provides recommendations for future research.\u003c/p\u003e"},{"header":"2. LITERATURE REVIEW","content":"\u003cp\u003eThe integration of BIM with information management and data governance has been widely discussed in various fields. However, there remains limited research explicitly combining ISO 19650 and DMBoK2 into a unified framework. While existing research offers valuable contributions on data governance, quality management, and structured methodologies, it mostly focuses on either information management or governance maturity. This section reviews the literature along three thematic axes.\u003c/p\u003e \u003cp\u003e \u003cb\u003eISO 19650 and BIM Data Management Standards\u003c/b\u003e \u003c/p\u003e \u003cp\u003eISO 19650 has become a global reference point for structured BIM information management, ensuring consistency, interoperability, and traceability throughout the project lifecycle. Recent studies have revealed different applications of this standard. For example, Almeida et al. (2023) proposed an ISO 19650-based framework for integrating BIM with Environmental Product Declarations, while Ajayi et al. (2023) demonstrated how automation facilitated compliance with ISO 19650 naming conventions [4], [5]. Abanda et al. (2025) explained how ISO 19650 improved stakeholder communication through a process modeling approach, and Kaya and \u0026Ouml;zener (2025) strategically evaluated BIM-focused information management in the context of ISO 19650-2 [6], [8].\u003c/p\u003e \u003cp\u003ePanagiotidou et al. (2023) presented a global review of BIM Implementation Plans, emphasizing the importance of ISO 19650 compliance [9]. Succar \u0026amp; Kassem (2017) further highlighted how ISO 19650-compliant workflows reduce documentation errors and improve metadata traceability, providing a benchmark for evaluating documentation accuracy in BIM environments [7]. These studies confirm ISO 19650's role in standardizing BIM workflows, but they also reveal gaps in governance maturity, security, and lifecycle adaptability.\u003c/p\u003e \u003cp\u003e \u003cb\u003eEnterprise Data Governance and DMBoK2 Framework\u003c/b\u003e \u003c/p\u003e \u003cp\u003eDMBoK2 provides a comprehensive governance model, addressing data quality, security, metadata, and lifecycle management. Its relevance to BIM lies in bridging organizational governance principles with technical workflows. Numerous studies have demonstrated DMBoK2\u0026rsquo;s applicability across different sectors. Ruslan et al. (2022) applied DMBoK2 in human capital management operations, while Yulfitri \u0026amp; Achmad (2020) analyzed organizational data governance activities based on DMBoK2 [11], [12]. Indriany et al. (2021) and Liang et al. (2024) focused on data quality management maturity, and Cretu (2025) emphasized maturity assessment for public institutions [13], [14], [15]. Kamarulzaman et al. (2025) proposed a higher education data governance framework, while Steuperaert et al. (2025) introduced a reference model for information quality in IT governance contexts. [16], [20].\u003c/p\u003e \u003cp\u003eIn addition, Brahmantara (2021) and Saputra (2023) evaluated data maturity models aligned with DMBoK2 principles [21], [22]. Ismail (2024) and Rahmawati (2023) discussed TDQM and CMMI-based approaches, reinforcing the necessity of scalable data governance models [23], [24]. Gordon \u0026amp; Thompson (2024) examined organizational data strategies in the built environment, highlighting DMBoK2\u0026rsquo;s role in institutional contexts [25], [26], [27]. Ramdhani (2024) and Swetha Talluri (2025) investigated master data management and maturity assessments, demonstrating DMBoK2\u0026rsquo;s practical adaptability [24], [28].\u003c/p\u003e \u003cp\u003eDomingues \u0026amp; Ribeiro (2023) proposed a comparative framework for project management maturity models, enabling systematic evaluation of different maturity approaches [17]. Santos et al. (2024) extended this perspective by proposing a BIM-specific maturity model that integrates governance and security dimensions, offering a relevant benchmark for evaluating governance scalability [18]. This body of literature has shown DMBoK2\u0026rsquo;s wide applicability across sectors, yet its direct connection to BIM-specific workflows remains limited. This gap underscores the originality and necessity of integrating ISO 19650 with DMBoK2 through the proposed IDBMF framework.\u003c/p\u003e \u003cp\u003e \u003cb\u003eBridging Information Management and Governance in BIM Contexts\u003c/b\u003e \u003c/p\u003e \u003cp\u003eRecent research attempts to relate the structured workflows of ISO 19650 to governance principles. Brelih and Klinc (2025) examined security and privacy mechanisms in CDE-based BIM collaboration, while Brand\u0026iacute;n and Abrishami (2025) proposed blockchain-based traceability for BIM data flows [29], [30]. Sompolgrunk et al. (2025) explored the strategic alignment of big BIM data, while Hijazi and Das (2025) discussed BIM and IoT integration within smart city strategies [31], [32]. Rehman (2025) reviewed the role of BIM in risk management for sustainable infrastructure, while Valdebenito and Forcael (2025) examined the integration of BIM with artificial intelligence for governance development [33], [34].\u003c/p\u003e \u003cp\u003eSacks et al. (2018) emphasized the role of Common Data Environments (CDEs) in enabling real-time collaboration and reducing coordination errors, providing a benchmark for interoperability improvements [35]. Lee and Borrmann (2020) highlighted the importance of structured access protocols and compliance monitoring in BIM environments, directly informing discussions on security compliance [36]. Papadonikolaki et al. (2019) analyzed governance maturity through socio-technical perspectives, offering a theoretical foundation for BIM governance models [19]. These contributions demonstrate the growing need for frameworks that combine information management (ISO 19650) with governance maturity (DMBoK2), and the lack of direct integration highlights the uniqueness of the proposed ISO\u0026ndash;DMBoK2 BIM Management Framework (IDBMF).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eComparative mapping of ISO 19650 and DMBoK2 dimensions, associated literature, and the integrated contribution of IDBMF.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDimension\u003c/p\u003e \u003cp\u003e(IDBMF Phase)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eISO 19650 Focus (Selected Studies)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDMBoK2 Focus (Selected Studies)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eIntegrated Gap (IDBMF Contribution)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStandardization\u003c/p\u003e \u003cp\u003e(Phase 01)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eStructured workflows, CDE protocols (Almeida et al., 2023; Ajayi et al., 2023; Abanda et al., 2025; Succar \u0026amp; Kassem, 2017)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMetadata management, data quality (Ruslan et al., 2022; Yulfitri \u0026amp; Achmad, 2020; Liang et al., 2024)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eUnified documentation\u0026thinsp;+\u0026thinsp;glossary\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInteroperability\u003c/p\u003e \u003cp\u003e(Phase 02)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExchange formats, collaboration protocols (Kaya \u0026amp; \u0026Ouml;zener, 2025; Panagiotidou et al., 2023; Sacks et al., 2018)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eData integration \u0026amp; lifecycle management (Indriany et al., 2021; Cretu, 2025)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCross-platform synchronization\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eData Quality \u0026amp; Security\u003c/p\u003e \u003cp\u003e(Phase 03)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eISO 19650-5 security protocols (Chamochumbi, 2023; Brelih \u0026amp; Klinc, 2025; Lee \u0026amp; Borrmann, 2020)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eData protection, access control (Steuperaert et al., 2025; Kamarulzaman et al., 2025)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCombined audit\u0026thinsp;+\u0026thinsp;encryption layers\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGovernance Maturity\u003c/p\u003e \u003cp\u003e(Phase 04)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLimited lifecycle adaptability (Godager et al., 2022; Ashworth et al., 2023; Papadonikolaki, 2019)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMaturity models, organizational oversight (Domingues \u0026amp; Ribeiro, 2023; Santos et al., 2024; Swetha Talluri, 2025; Ruslan et al., 2022)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eContinuous evaluation loop\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePractical Applications\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBIM execution plans, project delivery (Pan et al., 2024; Rehman, 2025)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEnterprise data governance, public institutions (Osu \u0026amp; Navarra, 2022; Cretu, 2025)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eScalable BIM governance framework\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eWhile ISO 19650 provides standardized BIM information management principles, DMBoK2 offers a broader governance perspective. The lack of studies directly integrating both frameworks highlights the originality of this research and positions the IDBMF as a structured, scalable contribution. This contribution is further clarified in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, which compares the focus dimensions of ISO 19650 and DMBoK2 and highlights the integrated gaps that the proposed framework addresses.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 ISO 19650\u003c/h2\u003e \u003cp\u003eThe ISO 19650 series, published by the International Organization for Standardization (ISO), establishes an internationally recognized framework for information management within BIM workflows, ensuring structured data governance across the entire lifecycle of a built asset. This standard builds upon the foundational principles of BS 1192 and PAS 1192, aligning BIM practices with digitally integrated and collaborative environments [37], [38]. As illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, ISO 19650 consists of six key parts, each designed to refine specific aspects of BIM data management and governance:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eISO 19650-1\u003c/b\u003e: Concepts and principles governing BIM information management [39].\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eISO 19650-2\u003c/b\u003e: Detailed requirements for information management during the design and construction phases [40].\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eISO 19650-3\u003c/b\u003e: Guidelines for operational and facility management stages [41].\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eISO 19650-4\u003c/b\u003e: Validation mechanisms and compliance verification within BIM workflows [42].\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eISO 19650-5\u003c/b\u003e: Security protocols ensuring data protection in collaborative BIM environments [43].\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eISO 19650-6\u003c/b\u003e: Expands on health and safety information management, integrating BIM methodologies with risk assessment and hazard identification frameworks [44].\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eCollectively, these components define a structured approach to managing BIM data efficiently, ensuring standardization, accountability, and traceability throughout the lifecycle of a built asset.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eISO 19650 structures BIM data management into a hierarchical framework, ensuring that information flows systematically across different project phases. A Common Data Environment (CDE) is established as a centralized repository, allowing for controlled data storage, retrieval, and sharing. As depicted in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, the key aspects of ISO 19650-driven BIM information management include:\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eInformation Requirements: Information requirements play a fundamental role in maintaining a standardized information flow in BIM environments. This principle ensures consistency and reliability by creating structured formats for requesting, documenting, and verifying data related to interdisciplinary BIM. By aligning data formats with Employer Information Requirements (EIR), project stakeholders can achieve a unified approach to information exchange, reduce inconsistencies, and improve decision-making processes.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eCommon Data Environment (CDE) Implementation: The common data environment (CDE) implementation provides standardized data storage by offering version control and traceability throughout the BIM model's lifecycle. This structured repository facilitates real-time collaboration by allowing stakeholders to access, update, and validate BIM datasets within a controlled system. By centralizing data access and validation, the CDE improves efficiency and reduces interdisciplinary misunderstandings.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eCollaboration Protocols Across BIM Workflows: Collaboration protocols between BIM workflows establish well-defined exchange mechanisms that promote seamless interdisciplinary collaboration. These structured protocols ensure that BIM data remains consistent and accessible, reducing data fragmentation and siloed workflows. ISO 19650-2 protocols further enhance interoperability by improving data accuracy, verification processes, and integration mechanisms across multiple platforms, thus promoting a unified information governance structure.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eCompliance and Verification Mechanisms: Compliance and verification mechanisms play a critical role in ensuring the integrity and security of BIM data. Automated validation checks reduce errors and improve quality assurance throughout the project lifecycle, increasing data consistency and availability. ISO 19650-4 methodologies ensure that BIM workflows remain transparent, traceable, and compliant with regulatory requirements by providing a comprehensive framework to assess data integrity, security, and ensure adherence to industry standards.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 DMBoK2\u003c/h2\u003e \u003cp\u003eThe Data Management Body of Knowledge (DMBoK) is a comprehensive framework developed by DAMA International to define cross-industry best practices in data management, security, and integration. It provides a foundation for effective information management by offering structured methodologies to ensure data quality and interoperability [10].\u003c/p\u003e \u003cp\u003eAs presented in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, the second edition, DMBoK2, expands this framework by incorporating modern developments in the field of data management. It outlines 11 key knowledge areas, providing a systematic approach to governance, security, metadata management, and interoperability. The principles of DMBoK2 are closely aligned with BIM data workflows, enabling structured management models that enhance efficiency, compliance, and risk mitigation. By integrating DMBoK2 into BIM projects, organizations can transition from fragmented data applications to standardized information management, ensuring consistency across stakeholders and digital platforms [45].\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eAs illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e, the DMBoK2 summarizes 11 key knowledge areas that support effective data governance, security, and integration. The most suitable areas for BIM projects are:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eData Governance: Establishing frameworks for planning, oversight, and control of data usage in projects.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eData Integration \u0026amp; Interoperability: Managing how BIM data is exchanged, transformed, and validated across different systems.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eData Security: Protecting sensitive project information from unauthorized access and data breaches.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eMetadata Management: Ensuring structured categorization, retrieval, and integration of BIM metadata.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eData Quality Management: Implementing monitoring, maintenance, and improvement mechanisms for ensuring data integrity in BIM models.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eAdditional knowledge areas covered in DMBoK2 include Data Architecture, Data Modeling \u0026amp; Design, Data Storage \u0026amp; Operations, Reference \u0026amp; Master Data Management, Data Warehousing \u0026amp; Business Intelligence, and Data Ethics.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3 Integrating ISO 19650 and DMBoK2\u003c/h2\u003e \u003cp\u003eAs depicted in Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e, integrating ISO 19650 with structured BIM information workflows and the data governance principles of DMBoK2 can lead to greater transparency, interoperability, and standardization in construction projects. The main benefits are:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eStronger alignment between BIM data requirements and governance models, ensuring higher data integrity and security.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eAutomated compliance mechanisms, allowing for seamless data validation within BIM platforms.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eScalable data maturity models, enhancing long-term asset management strategies.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eThese benefits demonstrate the necessity of integrating ISO 19650 and DMBoK2 to establish a scalable and governance-driven BIM data management model.\u003c/p\u003e \u003c/div\u003e"},{"header":"3. METHODOLOGY","content":"\u003cp\u003eBIM projects often encounter fragmented data management, limited governance maturity, and security vulnerabilities. While ISO 19650 provides structured workflows, it does not fully address governance progress and lifecycle adaptability. DMBoK2, on the other hand, offers strong governance principles but lacks direct applicability to BIM. To address this gap, this study aims to develop and pilot-test the ISO-DMBoK2 BIM Management Framework (IDBMF), which integrates the structured workflows of ISO 19650 with the governance principles of DMBoK2.\u003c/p\u003e \u003cp\u003e \u003cb\u003eResearch Design\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThis study adopts the Design Science Research (DSR) approach. DSR is a widely used method for developing innovative frameworks in information systems and construction research and testing them in real-world contexts. This approach aims to contribute to theoretical knowledge while producing \u0026ldquo;research artifacts\u0026rdquo; such as models, methods, or systems to solve practical problems [46], [47], [48], [49]. In the BIM field, DSR has been applied to topics such as automated regulatory compliance checking, interoperability development, and digital twin integration [1], [50], [51]. Based on this methodological foundation, the current study is structured in three stages as illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e.\u003c/p\u003e\n\u003ch3\u003e1. Stage 01 - Framework Design\u003c/h3\u003e\n\u003cp\u003eIn this stage, the structured workflows of ISO 19650 were conceptually matched with the governance areas of DMBoK2. As a result of this matching, points of alignment and gaps were identified, and a four-phase IDBMF model was designed, integrating the dimensions of documentation, interoperability, security, and maturity assessment.\u003c/p\u003e\n\u003ch3\u003e2. Stage 02 - Pilot Implementation\u003c/h3\u003e\n\u003cp\u003eThe designed framework was applied to a four-story reinforced concrete apartment project located in Cebeci, \u0026Ccedil;ankaya, Ankara. The BIM model was developed using ArchiCAD and executed on the Common Data Environment (CDE), testing scalability, collaboration, and security mechanisms.\u003c/p\u003e\n\u003ch3\u003e3. Stage 03 - Evaluation and Improvement\u003c/h3\u003e\n\u003cp\u003eIn the final stage, the effectiveness of the framework was measured using KPIs derived from ISO 19650 and DMBoK2 principles. The findings were validated by an expert panel, supported by literature comparisons, and the framework was improved based on feedback to ensure stronger alignment and applicability.\u003c/p\u003e \u003cp\u003e \u003cb\u003eCase Context\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe pilot project is a four-story reinforced concrete apartment building with a total floor area of approximately 600 m\u0026sup2;. The BIM model was developed using ArchiCAD software and hosted on a CDE for collaboration. Stakeholders included architects, structural engineers, and project managers; approximately 1.00 GB of BIM data was shared during the project.\u003c/p\u003e \u003cp\u003e \u003cb\u003eKey Performance Indicators\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe effectiveness of the framework was measured using KPIs derived from ISO 19650 and DMBoK2 principles:\u003c/p\u003e\u003cp\u003e\u003cimg 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\" width=\"724\" height=\"234\"\u003e\u003c/p\u003e\u003cp\u003e \u003cb\u003eData Collection\u003c/b\u003e \u003c/p\u003e \u003cp\u003eData was collected over a six-month period, with monthly checkpoints. Roles were defined as BIM coordinators (documentation), interoperability managers (data exchange validation), IT specialists (security monitoring), and governance evaluators (maturity analysis).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eValidation\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe outputs of the framework were reviewed by an external panel of experts consisting of three BIM governance specialists. Inter-expert agreement was measured using Kendall's W coefficient, yielding a value of 0.74, indicating strong consensus.\u003c/p\u003e \u003cp\u003e \u003cb\u003eEthical Considerations\u003c/b\u003e \u003c/p\u003e \u003cp\u003eAll project data was anonymized, and explicit permission was obtained from the participating organization. Sensitive information was excluded from the published content, ensuring compliance with ethical standards.\u003c/p\u003e \u003cp\u003e \u003cb\u003eLimitations\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe study is limited to a single case study conducted in a controlled environment. While the results demonstrate the potential of IDBMF, they cannot be directly generalized to different project types and organizational contexts. Multiple case studies are required for broader validation.\u003c/p\u003e"},{"header":"4. FRAMEWORK MODELLING","content":"\u003cp\u003eThis section presents the ISO\u0026ndash;DMBoK2 BIM Management Framework (IDBMF), reconstructed using a layered circular model that emphasizes continuous feedback loops and iterative governance refinement. As illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e7\u003c/span\u003e. The framework consists of four key phases: Standardization, Interoperability, Data Quality and Security, and Governance Maturity. Each phase is designed to be compatible with ISO 19650's structured information management processes and DMBoK2's data governance areas. The circular approach highlights that BIM governance is not linear but evolves through ongoing audits, validation cycles, and lifecycle adaptability improvements.\u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e4.1 Phase 01: Standardization\u003c/h2\u003e \u003cp\u003eThis phase defines standard information requirements by aligning ISO 19650's structured documentation processes with DMBoK2's data architecture and metadata management principles. This ensures that information containers, file structures, and metadata definitions are managed consistently throughout the project lifecycle. The theoretical foundation of this phase lies in the idea that accurate, traceable, and well-structured documentation is a prerequisite for all governance activities. Integrating the EIR/BEP structure of ISO 19650 with the glossary and metadata standards of DMBoK2 reduces uncertainty, increases transparency, and strengthens interdisciplinary information flow.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003e4.2 Phase 02: Interoperability\u003c/h2\u003e \u003cp\u003eThis phase integrates ISO 19650's Common Data Environment (CDE) structure with DMBoK2's data quality and lifecycle management principles to improve interdisciplinary data exchange. The theoretical logic is that interoperability depends on both technical standards and governance discipline. DMBoK2's emphasis on data quality, validation, and lifecycle control supports ISO 19650's coordination processes, thereby increasing model consistency, reducing fragmentation, and strengthening collaboration among stakeholders.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003e4.3 Phase 03: Data Quality \u0026amp; Security\u003c/h2\u003e \u003cp\u003eThis phase combines ISO 19650's access control mechanisms with DMBoK2's data protection and security governance principles. Role-based access, encryption, privacy measures, and continuous monitoring of unauthorized access attempts are key components of this phase. The theoretical basis is that secure and high-quality information environments are essential for trustworthy BIM governance. DMBoK2's security and data quality domains enhance ISO 19650's layered security model, ensuring the protection, compliance, and operational resilience of BIM data.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003e4.4 Phase 04: Governance Maturity\u003c/h2\u003e \u003cp\u003eThis phase presents a maturity-based assessment model that measures the development of BIM governance practices over time. Using KPIs such as documentation accuracy, interoperability efficiency, security compliance, and lifecycle adaptability, organizations can assess their governance performance. The validation arrow added to the diagram shows how continuous monitoring and feedback loops enhance governance maturity. This approach aligns with DMBoK2's emphasis on iterative development rather than static compliance.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eEach of the four phases is measured using specific performance indicators (KPIs) derived from ISO 19650 and DMBoK2 principles, ensuring that the framework is both theoretically and quantitatively verifiable. Phase 01 (Standardization) is assessed through Documentation Accuracy (DA), which measures the ratio of correct metadata entries to total metadata entries. Phase 02 (Interoperability) is evaluated using Interoperability Efficiency (IE), calculated by comparing coordination errors before and after implementation. Phase 03 (Data Quality \u0026amp; Security) is measured through Security Compliance (SC), defined as the proportion of prevented unauthorized access attempts relative to total attempts. Finally, Phase 04 (Governance Maturity) is assessed using Governance Maturity (GM), based on lifecycle adaptability and compliance audit progression. This structure demonstrates that IDBMF is not only a conceptual model but also a measurable, traceable, and continuously developable governance mechanism.\u003c/p\u003e \u003c/div\u003e"},{"header":"5. FINDINGS","content":"\u003cp\u003eThis section presents the findings obtained by applying the IDBMF to a four-story reinforced concrete apartment building project in \u0026Ccedil;ankaya, Cebeci, Ankara. The project, modeled using ArchiCAD, was executed in accordance with the IDBMF's standardization, interoperability, data quality and security, and governance maturity phases, and the outputs of each phase were evaluated using quantitative indicators based on ISO 19650 and DMBoK2 principles.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eProject Overview and BIM Environment\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe project, illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e8\u003c/span\u003e, consists of two commercial units of 60 m\u0026sup2; on the ground floor, residential units of 130 m\u0026sup2; on the upper floors, and a reinforced concrete structural system with an optimized spatial design. The BIM model was developed using ArchiCAD software and executed with integrated workflows that facilitate interdisciplinary data sharing. Quantitative metrics presented in Appendix 1 demonstrate the effectiveness of the IDBMF across all four phases.\u003c/p\u003e \u003cp\u003e \u003cb\u003ePhase 01\u003c/b\u003e \u003c/p\u003e \u003cp\u003eEffective BIM data management relies on structured information management that ensures traceability, standardization, and metadata integrity. The IDBMF establishes a clear methodology for defining information requirements by aligning the structured workflows of ISO 19650 with the management standards of DMBoK2. This approach has reduced documentation errors, increased metadata accuracy, and strengthened interdisciplinary collaboration.\u003c/p\u003e \u003cp\u003eThe implementation of ISO 19650-compliant documentation protocols has ensured greater consistency in EIR and BEP processes. As shown in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, documentation consistency increased from 60% to 88% (+\u0026thinsp;28%), metadata traceability rose from 55% to 90% (+\u0026thinsp;35%), and model accuracy improved from 58% to 82% (+\u0026thinsp;24%). These findings align with Ajayi et al. (2023)'s contribution to automation in ISO 19650 compliance. However, manual intervention is still required in some interdisciplinary transitions, indicating that standardization has not been fully achieved.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBIM documentation accuracy (before \u0026amp; after IDBMF implementation).\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetric\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePre-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePost-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eUnit\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eObserved Change\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eModel Accuracy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e58\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e70\u0026thinsp;\u0026plusmn;\u0026thinsp;12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;24\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDocumentation Consistency\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e74\u0026thinsp;\u0026plusmn;\u0026thinsp;14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;28\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetadata Traceability\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e55\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e72\u0026thinsp;\u0026plusmn;\u0026thinsp;18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eMetadata inconsistencies and incompatible terminology cause communication problems in BIM model integration. IDBMF has solved this problem by using a structured business glossary based on DMBoK2 metadata principles. As shown in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, classification accuracy for architectural components improved from 65% to 92% (+\u0026thinsp;27%), structural elements from 60% to 90% (+\u0026thinsp;30%), and commercial unit metadata from 58% to 88% (+\u0026thinsp;30%). These developments are consistent with Panagiotidou et al. (2023)'s study emphasizing the importance of terminology standardization in BIM implementation plans.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBIM metadata classification performance (before \u0026amp; after IDBMF implementation).\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetric\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePre-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePost-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eUnit\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eObserved Change\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eArchitectural Components\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e78\u0026thinsp;\u0026plusmn;\u0026thinsp;14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;27\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStructural Elements\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e75\u0026thinsp;\u0026plusmn;\u0026thinsp;15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;30\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCommercial Unit Metadata\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e58\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e73\u0026thinsp;\u0026plusmn;\u0026thinsp;15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;30\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003ePhase 01 demonstrated significant improvements in documentation and metadata management, but manual intervention is still required for some interdisciplinary transitions. This demonstrates that IDBMF has strong standardization capabilities but requires further development for full automation.\u003c/p\u003e \u003cp\u003e \u003cb\u003ePhase 02\u003c/b\u003e \u003c/p\u003e \u003cp\u003eInteroperability is critical for ensuring seamless communication and data exchange in BIM environments. The IDBMF integrates ISO 19650\u0026rsquo;s Common Data Environment (CDE) with DMBoK2\u0026rsquo;s structured governance principles to enhance cross-disciplinary collaboration. The implementation of real-time synchronization mechanisms has reduced model discrepancies and increased data consistency.\u003c/p\u003e \u003cp\u003eA structured CDE has been created to increase data exchange efficiency. This environment has enabled real-time collaboration between architectural, structural, and MEP disciplines, allowing for less inconsistent work on synchronized BIM models. DMBoK2's interoperability mechanisms have regulated data flow, increased coordination accuracy, and minimized information loss. As shown in Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e, BIM model coordination errors decreased from 18% to 4%, representing a 77% reduction. Synchronization time dropped from 8 hours to 3.5 hours (-56%), while data exchange consistency improved from 65% to 92% (+\u0026thinsp;27%). These findings are consistent with Panagiotidou et al. (2023)\u0026rsquo;s global review of BIM Implementation Plans. However, in some cases, synchronization time is still longer than expected, indicating that automation has not been fully optimized.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBIM data exchange efficiency (before \u0026amp; after IDBMF implementation).\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetric\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePre-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePost-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eUnit\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eObserved Change\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBIM Model Coordination Errors\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e11\u0026thinsp;\u0026plusmn;\u0026thinsp;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-77\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eModel Synchronization Time (hours)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e5.8\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ehours\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-56\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eData Exchange Consistency\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e78\u0026thinsp;\u0026plusmn;\u0026thinsp;13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;27\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eAutomated validation enhanced BIM model accuracy, metadata consistency, and security compliance, minimizing manual errors and improving workflow efficiency. As shown in Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e, metadata consistency increased from 62% to 91% (+\u0026thinsp;29%), security compliance rose from 68% to 95% (+\u0026thinsp;27%), and verification speed improved by 70%, reducing processing time from 10 to 3 hours. These improvements support Brelih \u0026amp; Klinc (2025)\u0026rsquo;s work on CDE-based security and validation mechanisms. Yet, some users still relied on manual verification, indicating that automated systems were not fully integrated.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBIM automated validation performance (before \u0026amp; after IDBMF implementation).\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetric\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePre-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePost-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eUnit\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eObserved Change\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetadata Consistency\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e62\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e91\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e76\u0026thinsp;\u0026plusmn;\u0026thinsp;15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;29\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eError Detection\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eManual\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAutomated\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026ndash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eTransition\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSecurity Compliance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e68\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e81\u0026thinsp;\u0026plusmn;\u0026thinsp;14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;27\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVerification Speed\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ehours\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-70\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003ePhase 02 demonstrated significant improvements in interoperability and validation, but certain limitations such as extended synchronization times and reliance on manual verification highlight the need for further optimization of IDBMF\u0026rsquo;s interoperability capacity.\u003c/p\u003e \u003cp\u003e \u003cb\u003ePhase 03\u003c/b\u003e \u003c/p\u003e \u003cp\u003eEnsuring data quality and security is critical to maintaining BIM model integrity and preventing unauthorized changes. The IDBMF integrates multi-layered security protocols to enhance data protection, compliance accuracy, and auditing mechanisms.\u003c/p\u003e \u003cp\u003eThe combination of ISO 19650-5 access controls and DMBoK2 encryption protocols significantly reduced vulnerabilities. As shown in Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e, unauthorized access attempts dropped from 35 to 3 per month (-92%), data loss incidents decreased from 8 to 1 (-88%), and compliance accuracy improved from 68% to 94% (+\u0026thinsp;26%). These findings support Brelih \u0026amp; Klinc (2025)\u0026rsquo;s study on CDE-based security mechanisms. However, some users still require manual verification processes, showing that security controls are not fully integrated with automation.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBIM security performance (before \u0026amp; after IDBMF implementation).\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetric\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePre-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePost-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eUnit\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eObserved Change\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnauthorized Access Attempts\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e19\u0026thinsp;\u0026plusmn;\u0026thinsp;16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ecases/month\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-92\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eData Loss Events\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e4.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eincidents/month\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-88\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCompliance Accuracy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e68\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e94\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e81\u0026thinsp;\u0026plusmn;\u0026thinsp;13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eAutomated auditing mechanisms improved compliance accuracy and reduced risks. As shown in Table\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e7\u003c/span\u003e, audit success rates increased from 67% to 92% (+\u0026thinsp;25%), real-time verification accuracy rose from 70% to 96% (+\u0026thinsp;26%), and regulatory compliance issues dropped from 12 to 3 per month (-75%). These improvements are consistent with Swetha Talluri (2025)\u0026rsquo;s work highlighting the contribution of automation to BIM compliance processes. However, the continued need for manual intervention in some cases indicates that compliance mechanisms are not fully integrated with automation.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab7\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBIM compliance performance (before \u0026amp; after IDBMF implementation).\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetric\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePre-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePost-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eUnit\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eObserved Change\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAudit Success Rate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e67\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e79\u0026thinsp;\u0026plusmn;\u0026thinsp;13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;25\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eReal-Time Verification Accuracy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e96\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e83\u0026thinsp;\u0026plusmn;\u0026thinsp;13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRegulatory Compliance Issues\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7.5\u0026thinsp;\u0026plusmn;\u0026thinsp;4.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ecases/month\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-75\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eManual Intervention in Compliance Checks\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHigh\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLow\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026ndash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eReduction\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003ePhase 03 demonstrated significant improvements in data security and compliance accuracy, but reliance on manual verification highlights the need for further automation to fully optimize IDBMF\u0026rsquo;s security and compliance capacity.\u003c/p\u003e \u003cp\u003e \u003cb\u003ePhase 04\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe scalability and adaptability of BIM data governance are critical to long-term project success. The IDBMF establishes a progressive maturity model, enabling structured evaluation and continuous improvement of governance processes over time.\u003c/p\u003e \u003cp\u003eThe IDBMF applied DMBoK2\u0026rsquo;s maturity model, allowing BIM projects to progress from basic governance structures to advanced data management methodologies. Structured evaluation improved standardization, interoperability, security, and governance maturity. As show in Table\u0026nbsp;\u003cspan refid=\"Tab8\" class=\"InternalRef\"\u003e8\u003c/span\u003e, the initial phase score rose from 45% to 82% (+\u0026thinsp;37%), the intermediate phase improved from 60% to 90% (+\u0026thinsp;30%), and the advanced phase increased from 72% to 97% (+\u0026thinsp;25%). These findings are consistent with Swetha Talluri (2025)\u0026rsquo;s maturity assessments in BIM governance. However, smaller-scale projects demonstrated limited improvement, indicating that the scalability of IDBMF may vary depending on the project type.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab8\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 8\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBIM data maturity (before \u0026amp; after IDBMF implementation).\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetric\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePre-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePost-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eUnit\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eObserved Change\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInitial Phase\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e45\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e63\u0026thinsp;\u0026plusmn;\u0026thinsp;19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;37\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntermediate Phase\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e75\u0026thinsp;\u0026plusmn;\u0026thinsp;15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;30\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAdvanced Phase\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e84\u0026thinsp;\u0026plusmn;\u0026thinsp;13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;25\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eStructured analytics strengthened BIM lifecycle management by improving traceability, automation, and adaptability. The integration of monitoring, predictive analytics, and automated workflows enhanced oversight and consistency. As show in Table\u0026nbsp;\u003cspan refid=\"Tab9\" class=\"InternalRef\"\u003e9\u003c/span\u003e, data traceability increased from 58% to 89% (+\u0026thinsp;31%), predictive analytics accuracy rose from 65% to 93% (+\u0026thinsp;28%), automation in data processing advanced from \u0026ldquo;moderate\u0026rdquo; to \u0026ldquo;high,\u0026rdquo; and governance adaptability improved from 60% to 91% (+\u0026thinsp;31%). These developments enhanced the adaptability of BIM models in dynamic project environments and supported sustainability in long-term asset management. However, the automation remaining limited in some processes indicates that IDBMF requires further optimization in life cycle management.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab9\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 9\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBIM Data lifecycle management performance (before \u0026amp; after IDBMF implementation).\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetric\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePre-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePost-Implementation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eUnit\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eObserved Change\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eData Traceability\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e58\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e73\u0026thinsp;\u0026plusmn;\u0026thinsp;15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;31\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePredictive Analytics Accuracy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e79\u0026thinsp;\u0026plusmn;\u0026thinsp;14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;28\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAutomation in Data Processing\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModerate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHigh\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026ndash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eTransition\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGovernance Adaptability\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e91\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e76\u0026thinsp;\u0026plusmn;\u0026thinsp;15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e+\u0026thinsp;31\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003ePhase 04 demonstrated significant improvements in governance maturity and lifecycle management, but limitations in smaller-scale projects and partial automation highlight the need for further refinement to ensure scalability across diverse BIM contexts.\u003c/p\u003e"},{"header":"6. RESULTS","content":"\u003cp\u003eThis section presents the observed outcomes obtained from the four-phase implementation of IDBMF. To highlight the overall impact, Table\u0026nbsp;\u003cspan refid=\"Tab10\" class=\"InternalRef\"\u003e10\u003c/span\u003e provides a comprehensive summary of ISO 19650 integration, DMBoK2 knowledge areas, key improvements, and observed impacts.\u003c/p\u003e \u003cp\u003e \u003cb\u003eNarrative Highlights\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe four-phase implementation of IDBMF produced observed improvements across documentation, interoperability, security, and governance maturity. Phase 01 demonstrated significant gains in documentation accuracy and metadata traceability, although manual intervention was still required in some interdisciplinary transitions. Phase 02 showed notable progress in interoperability; nevertheless, synchronization time remained longer than expected in some workflows, indicating that automation was not fully optimized. Phase 03 strengthened data security and compliance mechanisms; however, some users continued to rely on manual verification, reflecting the lack of integration of automated controls. Finally, Phase 04 showed clear progression in governance maturity, though smaller-scale projects exhibited limited scalability, suggesting that adaptability may vary depending on project size.\u003c/p\u003e \u003cp\u003e \u003cb\u003eNeutral and Negative Observations\u003c/b\u003e \u003c/p\u003e \u003cp\u003eIn addition to the observed improvements, several neutral or negative effects were also identified during implementation. The documentation workload increased by approximately 15% during the transition period due to retraining requirements. Despite the implementation of automated mechanisms, synchronization delays persisted in some workflows. Manual verification was still required in compliance checks, highlighting areas where automation remains insufficient. Furthermore, governance scalability varied depending on project size, with maturity progress remaining more limited in small projects.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab10\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 10\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eOverview of the four-phase implementation of IDBMF.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhase\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eISO 19650 Integration\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDMBoK2 Knowledge Area\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eKey Improvements\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eObserved Impact\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhase 01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eStructured documentation workflows (EIR, BEP compliance)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMetadata governance \u0026amp; traceability\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eStandardized documentation protocols, improved metadata consistency\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eDocumentation accuracy: 60% \u0026rarr; 88% (+\u0026thinsp;28%); Metadata traceability: 55% \u0026rarr; 90% (+\u0026thinsp;35%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhase 02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCommon Data Environment (CDE) for real-time collaboration\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eData integration \u0026amp; interoperability models\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAutomated model synchronization, reduced interdisciplinary discrepancies\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eCoordination errors: 18% \u0026rarr; 4% (-77%); Synchronization time: 8h \u0026rarr; 3.5h (-56%); Data exchange consistency: 65% \u0026rarr; 92% (+\u0026thinsp;27%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhase 03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eISO 19650-5 security access protocols\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eData security \u0026amp; compliance monitoring\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eEncryption-based protection, automated auditing workflows\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eUnauthorized access attempts: 35 \u0026rarr; 3 cases/month (-92%); Data loss: 8 \u0026rarr; 1 incidents/month (-88%); Compliance accuracy: 68% \u0026rarr; 94% (+\u0026thinsp;26%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhase 04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGovernance maturity evaluation aligned with ISO standards\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eData lifecycle management \u0026amp; scalability\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eScalable governance models, predictive analytics for structured BIM adaptation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eGovernance maturity: Initial 45% \u0026rarr; 82% (+\u0026thinsp;37%); Intermediate 60% \u0026rarr; 90% (+\u0026thinsp;30%); Advanced 72% \u0026rarr; 97% (+\u0026thinsp;25%); Lifecycle adaptability: 60% \u0026rarr; 91% (+\u0026thinsp;31%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e"},{"header":"7. DISCUSSION","content":"\u003cp\u003eThis section discusses the outcomes of IDBMF implementation, compared with the sources presented in the literature review and structured around four phases. These comparisons are summarized in Table\u0026nbsp;\u003cspan refid=\"Tab11\" class=\"InternalRef\"\u003e11\u003c/span\u003e.\u003c/p\u003e \u003cp\u003eThe improvements in documentation accuracy and metadata traceability observed in Phase 01 align with the error-reducing effect of ISO 19650-compliant workflows highlighted by Succar \u0026amp; Kassem (2017). Our findings show a 28% increase in consistency and 35% metadata traceability. However, manual intervention was still required during interdisciplinary transitions. This divergence may be attributed to the controlled environment of our case study and the smaller dataset, which limited full automation. Additionally, Ajayi et al. (2023) demonstrated how compliance with ISO 19650 naming conventions is facilitated by automation. This study supports that IDBMF enhances documentation accuracy but may increase transition workload.\u003c/p\u003e \u003cp\u003ePhase 02 achieved significant gains in interoperability. These findings align with the role of Common Data Environments (CDE) in facilitating real-time collaboration, as highlighted by Sacks et al. (2018). Our findings show a 77% reduction in coordination errors and a 56% decrease in synchronization time. However, synchronization delays persisted in some workflows. This can be explained by the integrated governance principle of IDBMF, which introduced additional metadata checks that extended synchronization processes. Similarly, Panagiotidou et al. (2023) highlighted in their global review of BIM Implementation Plans that ISO 19650 compliance is critical for interoperability. This demonstrates that IDBMF has strengthened collaboration but that synchronization processes need to be further optimized.\u003c/p\u003e \u003cp\u003eThe security improvements in Phase 03 align with the structured access protocols and compliance monitoring mechanisms highlighted by Lee \u0026amp; Borrmann (2020). Our findings show a 92% reduction in unauthorized access attempts and a 26% increase in compliance accuracy. This difference can be explained by the controlled scope of our study and the partial automation implementation. Additionally, Brelih \u0026amp; Klinc (2025) examined security and privacy mechanisms in CDE-based BIM collaboration and presented results supporting the findings of IDBMF Phase 03.\u003c/p\u003e \u003cp\u003eProgress in governance maturity was observed in Phase 04. These findings are consistent with the governance maturity analysis conducted from a socio-technical perspective by Papadonikolaki et al. (2019), the maturity model comparison framework proposed by Domingues \u0026amp; Ribeiro (2023), and the BIM-specific maturity model developed by Santos et al. (2024). Our findings show an initial development of 37%, an intermediate level of 30%, and an advanced level of 25%. However, limited scalability was observed in small-scale projects. This discrepancy can be explained by the single case and controlled scope of our study. Furthermore, Swetha Talluri (2025) emphasized that maturity assessments are critical for organizational oversight, indicating that IDBMF's scalability issues are a common theme in the literature.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab11\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 11\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eComparison of IDBMF findings with literature references.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhase\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eObserved Findings (IDBMF)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eKey Difference\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhase 01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e+\u0026thinsp;28% consistency, +\u0026thinsp;35% traceability\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSuccar \u0026amp; Kassem (2017); Ajayi et al. (2023)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eManual intervention still required; transitional workload increase\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhase 02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-77% errors, -56% sync time\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSacks et al. (2018); Panagiotidou et al. (2023)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDelays due to governance checks\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhase 03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-92% unauthorized access, +\u0026thinsp;26% compliance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLee \u0026amp; Borrmann (2020); Brelih \u0026amp; Klinc (2025)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eContinued manual verification\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhase 04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e+\u0026thinsp;37% initial, +\u0026thinsp;30% intermediate, +\u0026thinsp;25% advanced\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePapadonikolaki (2019); Domingues \u0026amp; Ribeiro (2023); Santos et al. (2024); Swetha Talluri (2025)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eLimited scalability in small projects\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e"},{"header":"8. CONCLUSION","content":"\u003cp\u003eThis study demonstrated the potential of integrating ISO 19650 standards with DMBoK2 principles to enhance BIM data documentation, interoperability, and governance maturity. The proposed IDBMF framework achieved measurable improvements in documentation accuracy, synchronization efficiency, security compliance, and maturity progression by integrating governance models into procedural workflows.\u003c/p\u003e \u003cp\u003eThis research contributes at three levels. Conceptually, it develops a novel framework that combines the structured workflows of ISO 19650 with the governance principles of DMBoK2. Methodologically, it ensures the systematic testing of the framework by applying a phased evaluation approach. Practically, it offers actionable recommendations for BEP compliance audits, national BIM standardization, and scalable governance models for project delivery organizations.\u003c/p\u003e \u003cp\u003eThe findings of this study are based on a single case study and a controlled environment. This limits the generalizability of the results and highlights the need for broader validation across different project types and organizational contexts.\u003c/p\u003e \u003cp\u003e \u003cb\u003eFuture Research\u003c/b\u003e \u003c/p\u003e \u003cp\u003eFuture research should advance in three main axes. First, multiple case comparative tests should be conducted across different scales and sectors. Second, longitudinal maturity analyses should be performed to assess the progression of governance maturity over time. Finally, automation, compliance monitoring, and predictive analytics should be enhanced through the integration of AI-based data auditing.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e\u003c/p\u003e"},{"header":"SYMBOLS AND ABBREVIATIONS","content":"\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\"\u003e\u003c/div\u003e\u003ctable id=\"Taba\" border=\"1\"\u003e \u003ccolgroup cols=\"3\"\u003e \u003c/colgroup\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\"\u003e \u003cp\u003eAI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\"\u003e \u003cp\u003e:\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\"\u003e \u003cp\u003eArtificial Intelligence\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e\u003cb\u003eBEP\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003eBIM Execution Plans\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e\u003cb\u003eBIM\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003eBuilding Information Modelling\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e\u003cb\u003eCDE\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003eCommon Data Environment\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e\u003cb\u003eDMBoK\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003eData Management Body of Knowledge\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e\u003cb\u003eEIR\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003eEmployer Information Requirements\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e\u003cb\u003eIDBMF\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003eISO-DMBoK2 BIM Management Framework\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e\u003cb\u003eIFC\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003eIndustry Foundation Classes\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e\u003cb\u003eISO\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003eInternational Organization for Standardization\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e\u003cb\u003eKPI\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003eKey Performance Indicators\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e\u003cb\u003eLOD\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003e:\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\"\u003e \u003cp\u003eLevel of Development\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/table\u003e\u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003eACKNOWLEDGEMENTS\u003c/p\u003e\n\u003cp\u003eThe author would like to express sincere thanks to Diana Zhao, Senior Managing Editor at Springer Nature, for her kind invitation and professional support throughout the manuscript preparation and submission stages. The author also appreciates the editorial guidance provided by the Discover Civil Engineering team during the review process.\u003c/p\u003e\n\u003cp\u003eThe author used AI-assisted language editing tools exclusively to enhance clarity and ensure alignment with academic conventions. These tools played no role in the research design, data analysis, or intellectual interpretation. All academic contributions and insights presented in this study are the result of the author\u0026rsquo;s original scholarly work.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMurat Aydın: Conceptualization, Methodology, Case Study Implementation, Validation, Visualization, Writing \u0026ndash; Original Draft, Writing \u0026ndash; Review \u0026amp; Editing.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research received no external funding.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data supporting the findings of this study are included within the article and are available from the author upon reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eClinical trial number\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe author declares that he has no competing interests.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eM. Aydın, \u0026ldquo;Enhancing BIM Process Automation and Traceability through ISO 21597-Based Information Containers,\u0026rdquo; in \u003cem\u003e2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)\u003c/em\u003e, IEEE, Aug. 2025, pp. 1\u0026ndash;7. doi: 10.1109/ACDSA65407.2025.11166637.\u003c/li\u003e\n\u003cli\u003eM. Aydın, \u0026ldquo;A Semantic Compliance Tracking Framework for BIM Workflows Based on ISO 21597 and SHACL,\u0026rdquo; in \u003cem\u003e2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)\u003c/em\u003e, IEEE, Aug. 2025, pp. 1\u0026ndash;6. doi: 10.1109/ACDSA65407.2025.11166396.\u003c/li\u003e\n\u003cli\u003eM. Aydın, \u0026ldquo;Proposing a Five-Phase Framework Based on ISO 23247-1 for Digital Twins in Construction,\u0026rdquo; \u003cem\u003eGazi Univ. J. Sci. Part A Eng. Innov.\u003c/em\u003e, vol. 12, no. 2, pp. 403\u0026ndash;431, 2025, doi: 10.54287/gujsa.1680674.\u003c/li\u003e\n\u003cli\u003eR. Almeida, L. Chaves, M. Silva, M. Carvalho, and L. Caldas, \u0026ldquo;Integration between BIM and EPDs: Evaluation of the main difficulties and proposal of a framework based on ISO 19650:2018,\u0026rdquo; \u003cem\u003eJ. Build. Eng.\u003c/em\u003e, vol. 68, p. 106091, Jun. 2023, doi: 10.1016/j.jobe.2023.106091.\u003c/li\u003e\n\u003cli\u003eS. O. Ajayi, F. Oyebiyi, and H. A. Alaka, \u0026ldquo;Facilitating compliance with BIM ISO 19650 naming convention through automation,\u0026rdquo; \u003cem\u003eJ. Eng. Des. Technol.\u003c/em\u003e, vol. 21, no. 1, pp. 108\u0026ndash;129, Jan. 2023, doi: 10.1108/JEDT-03-2021-0138.\u003c/li\u003e\n\u003cli\u003eF. H. Abanda, B. Balu, S. E. Adukpo, and A. Akintola, \u0026ldquo;Decoding ISO 19650 Through Process Modelling for Information Management and Stakeholder Communication in BIM,\u0026rdquo; \u003cem\u003eBuildings\u003c/em\u003e, vol. 15, no. 3, p. 431, Jan. 2025, doi: 10.3390/buildings15030431.\u003c/li\u003e\n\u003cli\u003eM. Kassem and B. Succar, \u0026ldquo;Macro BIM adoption: Comparative market analysis,\u0026rdquo; \u003cem\u003eAutom. Constr.\u003c/em\u003e, vol. 81, pp. 286\u0026ndash;299, Sep. 2017, doi: 10.1016/j.autcon.2017.04.005.\u003c/li\u003e\n\u003cli\u003eU. Kaya and O. \u0026Ouml;. \u0026Ouml;zener, \u0026ldquo;A strategic evaluation of BIM-driven information management in the context of ISO 19650-2 standard,\u0026rdquo; \u003cem\u003eEng. Constr. Archit. Manag.\u003c/em\u003e, vol. 32, no. 11, pp. 7857\u0026ndash;7886, Nov. 2025, doi: 10.1108/ECAM-03-2024-0387.\u003c/li\u003e\n\u003cli\u003eN. Panagiotidou, M. Pitt, and Q. Lu, \u0026ldquo;Building information modelling execution plans: a global review,\u0026rdquo; \u003cem\u003eProc. Inst. Civ. Eng. - Smart Infrastruct. Constr.\u003c/em\u003e, vol. 176, no. 3, pp. 126\u0026ndash;147, Sep. 2023, doi: 10.1680/jsmic.22.00012.\u003c/li\u003e\n\u003cli\u003eM. Mosley and D. International, \u003cem\u003eThe DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBoK)\u003c/em\u003e. Technics Publications, LLC, 2010. [Online]. Available: https://www.google.com.tr/books/edition/_/_0uMtAEACAAJ?hl=tr\u0026amp;sa=X\u0026amp;ved=2ahUKEwiouLLwivKNAxXc9rsIHcYGKd0Qre8FegQIDhAM\u003c/li\u003e\n\u003cli\u003eI. F. Ruslan, M. F. Alby, and M. Lubis, \u0026ldquo;Applying Data Governance using DAMA-DMBOK 2 Framework: The Case for Human Capital Management Operations,\u0026rdquo; in \u003cem\u003eProceedings of the 8th International Conference on Industrial and Business Engineering\u003c/em\u003e, New York, NY, USA: ACM, Sep. 2022, pp. 336\u0026ndash;342. doi: 10.1145/3568834.3568866.\u003c/li\u003e\n\u003cli\u003eA. Yulfitri and Y. F. Achmad, \u0026ldquo;Analysis of Pranata Computer\u0026rsquo;s Data Governance Activities based on DAMADMBOK 2,\u0026rdquo; \u003cem\u003eJ. Rekayasa Sist. Ind.\u003c/em\u003e, vol. 7, no. 1, p. 50, Jun. 2020, doi: 10.25124/jrsi.v7i1.393.\u003c/li\u003e\n\u003cli\u003eY. Liang \u003cem\u003eet al.\u003c/em\u003e, \u0026ldquo;Research on Theory and Practice of Data Quality Management,\u0026rdquo; \u003cem\u003eSHS Web Conf.\u003c/em\u003e, vol. 187, p. 03024, Mar. 2024, doi: 10.1051/shsconf/202418703024.\u003c/li\u003e\n\u003cli\u003eV. Cretu, \u0026ldquo;Future-ready public institutions: rethinking data governance through maturity assessment,\u0026rdquo; \u003cem\u003eEcon. Sociol.\u003c/em\u003e, no. 1, pp. 43\u0026ndash;59, Sep. 2025, doi: 10.36004/nier.es.2025.1-04.\u003c/li\u003e\n\u003cli\u003eH. S. Indriany, A. N. Hidayanto, L. J. Wantania, B. Santoso, W. U. Putri, and W. Pinuri, \u0026ldquo;Data Quality Management Maturity: Case Study National Narcotics Board,\u0026rdquo; in \u003cem\u003e2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)\u003c/em\u003e, IEEE, Jul. 2021, pp. 206\u0026ndash;212. doi: 10.1109/COMNETSAT53002.2021.9530824.\u003c/li\u003e\n\u003cli\u003eD. Steuperaert, G. Poels, and J. Devos, \u0026ldquo;A Reference Model for Information Quality in an it Governance Context,\u0026rdquo; \u003cem\u003eInf. Syst. Manag.\u003c/em\u003e, vol. 42, no. 3, pp. 346\u0026ndash;364, Jun. 2025, doi: 10.1080/10580530.2025.2477455.\u003c/li\u003e\n\u003cli\u003eL. Domingues and P. Ribeiro, \u0026ldquo;Project Management Maturity Models: Proposal of a Framework for Models Comparison,\u0026rdquo; \u003cem\u003eProcedia Comput. Sci.\u003c/em\u003e, vol. 219, pp. 2011\u0026ndash;2018, 2023, doi: 10.1016/j.procs.2023.01.502.\u003c/li\u003e\n\u003cli\u003eE. R. dos Santos, M. S. Salgado, and S. Scheer, \u0026ldquo;Maturity Model for Building Information Management and Security,\u0026rdquo; in \u003cem\u003eProc. of the CIB W78 Conference 2024\u003c/em\u003e, Marrakesh, Morocco, 2024, pp. 1\u0026ndash;8. [Online]. Available: https://www.researchgate.net/profile/Eduardo-Ribeiro-Dos-Santos-2/publication/392658033_Maturity_Model_for_Building_Information_Management_and_Security/links/684c3ce5df3fa4286a409bfb/Maturity-Model-for-Building-Information-Management-and-Security.pdf\u003c/li\u003e\n\u003cli\u003eE. Papadonikolaki, C. van Oel, and M. Kagioglou, \u0026ldquo;Organising and Managing boundaries: A structurational view of collaboration with Building Information Modelling (BIM),\u0026rdquo; \u003cem\u003eInt. J. Proj. Manag.\u003c/em\u003e, vol. 37, no. 3, pp. 378\u0026ndash;394, Apr. 2019, doi: 10.1016/j.ijproman.2019.01.010.\u003c/li\u003e\n\u003cli\u003eM. R. Kamarulzaman, A. N. Ismail, I. K. Abdul Kadir, M. A. Mazlan, and A. Mohd Yunos, \u0026ldquo;Implementing Data Governance To enhance Data Management at Higher Institution: UiTM Data Governance Framework.,\u0026rdquo; \u003cem\u003eJ. Inf. Knowl. Manag.\u003c/em\u003e, vol. 15, no. SI2, pp. 240\u0026ndash;251, Aug. 2025, doi: 10.24191/jikm.v15iSI2.7390.\u003c/li\u003e\n\u003cli\u003eR. P. Brahmantara, D. Y. Hutapea, and Y. Ruldeviyani, \u0026ldquo;Evaluation on Data Operations Management using CMMI and DMBOK: BDPJN Case Study,\u0026rdquo; in \u003cem\u003e2021 9th International Conference on Cyber and IT Service Management (CITSM)\u003c/em\u003e, IEEE, Sep. 2021, pp. 1\u0026ndash;6. doi: 10.1109/CITSM52892.2021.9588888.\u003c/li\u003e\n\u003cli\u003eA. K. Saputra, R. Muhida, Y. Aprilinda, and F. Ariani, \u0026ldquo;Maturity Level Assesment Tata Kelola Data Bantuan Sosial Menggunakan Domain Data Governance DAMA-DMBOK,\u0026rdquo; \u003cem\u003eExplor. J. Sist. Inf. dan Telemat.\u003c/em\u003e, vol. 14, no. 2, p. 177, Dec. 2023, doi: 10.36448/jsit.v14i2.3355.\u003c/li\u003e\n\u003cli\u003eA. Ismail, A. I. Suroso, and I. Hermadi, \u0026ldquo;Data Governance Design with the DAMA-DMBOK Framework (Case Study: PT. XYZ),\u0026rdquo; \u003cem\u003eInt. J. Res. Rev.\u003c/em\u003e, vol. 11, no. 8, pp. 210\u0026ndash;221, Aug. 2024, doi: 10.52403/ijrr.20240823.\u003c/li\u003e\n\u003cli\u003eR. Rahmawati, Y. Ruldeviyani, P. P. Abdullah, and F. M. Hudoarma, \u0026ldquo;Strategies to Improve Data Quality Management Using Total Data Quality Management (TDQM) and Data Management Body of Knowledge (DMBOK): A Case Study of M-Passport Application,\u0026rdquo; \u003cem\u003eCommIT (Communication Inf. Technol. J.\u003c/em\u003e, vol. 17, no. 1, pp. 27\u0026ndash;42, Mar. 2023, doi: 10.21512/commit.v17i1.8330.\u003c/li\u003e\n\u003cli\u003eI. Gordon and N. Thompson, \u0026ldquo;Radical Technologies,\u0026rdquo; in \u003cem\u003eData and the Built Environment: A Practical Guide to Building a Better World Using Data\u003c/em\u003e, Springer, 2024, pp. 239\u0026ndash;337. doi: 10.1007/978-3-031-51008-3_6.\u003c/li\u003e\n\u003cli\u003eI. Gordon and N. Thompson, \u0026ldquo;Delivering Data Capability,\u0026rdquo; in \u003cem\u003eData and the Built Environment: A Practical Guide to Building a Better World Using Data\u003c/em\u003e, Springer, 2024, pp. 199\u0026ndash;238. doi: 10.1007/978-3-031-51008-3_5.\u003c/li\u003e\n\u003cli\u003eI. Gordon and N. Thompson, \u0026ldquo;Data and Organisational Culture,\u0026rdquo; in \u003cem\u003eData and the Built Environment: A Practical Guide to Building a Better World Using Data\u003c/em\u003e, Springer, 2024, pp. 141\u0026ndash;197. doi: 10.1007/978-3-031-51008-3_4.\u003c/li\u003e\n\u003cli\u003eSwetha Talluri, \u0026ldquo;Master data management: A strategic imperative for enterprise data governance,\u0026rdquo; \u003cem\u003eWorld J. Adv. Eng. Technol. Sci.\u003c/em\u003e, vol. 15, no. 3, pp. 136\u0026ndash;148, Jun. 2025, doi: 10.30574/wjaets.2025.15.3.0902.\u003c/li\u003e\n\u003cli\u003eA. Brelih and R. Klinc, \u0026ldquo;Building digital trust in CDE-based BIM workflows: Key strategies,\u0026rdquo; \u003cem\u003eJ. Inf. Technol. Constr.\u003c/em\u003e, vol. 30, pp. 524\u0026ndash;543, 2025, [Online]. Available: https://api.semanticscholar.org/CorpusID:277538971\u003c/li\u003e\n\u003cli\u003eR. Brand\u0026iacute;n and S. Abrishami, \u0026ldquo;Securing information flow: a data traceability schema \u0026ndash; dtsBC for IoT, BIM and blockchain integrations,\u0026rdquo; \u003cem\u003eSmart Sustain. Built Environ.\u003c/em\u003e, pp. 1\u0026ndash;35, Oct. 2025, doi: 10.1108/SASBE-01-2025-0040.\u003c/li\u003e\n\u003cli\u003eA. Sompolgrunk, S. Banihashemi, H. Golzad, and H. Liu, \u0026ldquo;Curating the underlying dynamics of successfully aligning big BIM data: a strategic alignment approach,\u0026rdquo; \u003cem\u003eBuilt Environ. Proj. Asset Manag.\u003c/em\u003e, pp. 1\u0026ndash;20, Aug. 2025, doi: 10.1108/BEPAM-01-2025-0046.\u003c/li\u003e\n\u003cli\u003eA. A. Hijazi and P. Das, \u0026ldquo;Smart city UK: integrating BIM and IoT under digital built Britain strategy,\u0026rdquo; \u003cem\u003eInfrastruct. Asset Manag.\u003c/em\u003e, Aug. 2025, doi: 10.1680/jinam.24.00008.\u003c/li\u003e\n\u003cli\u003eA. Rehman, \u0026ldquo;THE ROLE OF BUILDING INFORMATION MODELING (BIM) IN RISK MANAGEMENT FOR SUSTAINABLE BRIDGE PROJECTS: A SYSTEMATIC REVIEW AND META-ANALYSIS,\u0026rdquo; \u003cem\u003eJ. Sustain. Dev. Policy\u003c/em\u003e, vol. 01, no. 01, pp. 198\u0026ndash;223, Mar. 2025, doi: 10.63125/d37g1237.\u003c/li\u003e\n\u003cli\u003eR. Valdebenito and E. Forcael, \u0026ldquo;Integrating Artificial Intelligence and BIM in Construction: Systematic Review and Quantitative Comparative Analysis,\u0026rdquo; \u003cem\u003eAppl. Sci.\u003c/em\u003e, vol. 15, no. 23, p. 12470, Nov. 2025, doi: 10.3390/app152312470.\u003c/li\u003e\n\u003cli\u003eR. Sacks, C. Eastman, G. Lee, and P. Teicholz, \u003cem\u003eBIM Handbook\u003c/em\u003e. Wiley, 2018. doi: 10.1002/9781119287568.\u003c/li\u003e\n\u003cli\u003eG. Lee and A. Borrmann, \u0026ldquo;BIM policy and management,\u0026rdquo; \u003cem\u003eConstr. Manag. Econ.\u003c/em\u003e, vol. 38, no. 5, pp. 413\u0026ndash;419, May 2020, doi: 10.1080/01446193.2020.1726979.\u003c/li\u003e\n\u003cli\u003eBS1192, \u0026ldquo;BS 1192: Collaborative production of architectural, engineering and construction information,\u0026rdquo; The British Standards Institution. [Online]. Available: https://www.operam.co.uk/bs-1192/#:~:text=BS 1192 is the original,of information (aka BIM).\u003c/li\u003e\n\u003cli\u003ePAS1192-2, \u0026ldquo;PAS 1192-2: Specification for information management for the capital/delivery phase of construction projects using building information modelling.,\u0026rdquo; The British Standards Institution. [Online]. Available: https://www.operam.co.uk/pas-1192-2/#:~:text=PAS 1192-2 is the,the delivery phase of assets.\u003c/li\u003e\n\u003cli\u003eISO19650-1, \u0026ldquo;ISO 19650-1:2018 Part 1: Concepts and principles,\u0026rdquo; ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/68078.html\u003c/li\u003e\n\u003cli\u003eISO19650-2, \u0026ldquo;ISO 19650-2:2018 Part 2: Delivery phase of the assets,\u0026rdquo; ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/68080.html\u003c/li\u003e\n\u003cli\u003eISO19650-3, \u0026ldquo;ISO 19650-3:2020 Part 3: Operational phase of the assets,\u0026rdquo; ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/75109.html\u003c/li\u003e\n\u003cli\u003eISO19650-4, \u0026ldquo;ISO 19650-4:2022 Part 4: Information exchange,\u0026rdquo; ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/78246.html\u003c/li\u003e\n\u003cli\u003eISO19650-5, \u0026ldquo;ISO 19650-5:2020 Part 5: Security-minded approach to information management,\u0026rdquo; ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/74206.html\u003c/li\u003e\n\u003cli\u003eISO19650-6, \u0026ldquo;ISO 19650-6:2025 Part 6: Health and safety information,\u0026rdquo; ISO - International Organization for Standardization. [Online]. Available: https://www.iso.org/standard/82705.html\u003c/li\u003e\n\u003cli\u003eD. International and D. M. Association, \u003cem\u003eThe DAMA Guide to the Data Management Body of Knowledge 2nd Edition (DAMA-DMBoK2)\u003c/em\u003e. Technics Publications, LLC, 2017. [Online]. Available: https://www.google.com.tr/books/edition/_/YjacswEACAAJ?hl=tr\u0026amp;sa=X\u0026amp;ved=2ahUKEwiouLLwivKNAxXc9rsIHcYGKd0Qre8FegQIDhAJ\u003c/li\u003e\n\u003cli\u003eHevner, March, Park, and Ram, \u0026ldquo;Design Science in Information Systems Research,\u0026rdquo; \u003cem\u003eMIS Q.\u003c/em\u003e, vol. 28, no. 1, p. 75, 2004, doi: 10.2307/25148625.\u003c/li\u003e\n\u003cli\u003eK. Peffers, T. Tuunanen, M. A. Rothenberger, and S. Chatterjee, \u0026ldquo;A Design Science Research Methodology for Information Systems Research,\u0026rdquo; \u003cem\u003eJ. Manag. Inf. Syst.\u003c/em\u003e, vol. 24, no. 3, pp. 45\u0026ndash;77, Dec. 2007, doi: 10.2753/MIS0742-1222240302.\u003c/li\u003e\n\u003cli\u003eP. Johannesson and E. Perjons, \u0026ldquo;A Method Framework for Design Science Research,\u0026rdquo; in \u003cem\u003eAn Introduction to Design Science\u003c/em\u003e, Cham: Springer International Publishing, 2014, pp. 75\u0026ndash;89. doi: 10.1007/978-3-319-10632-8_4.\u003c/li\u003e\n\u003cli\u003eS. Gregor and A. R. Hevner, \u0026ldquo;Positioning and Presenting Design Science Research for Maximum Impact,\u0026rdquo; \u003cem\u003eMIS Q.\u003c/em\u003e, vol. 37, no. 2, pp. 337\u0026ndash;355, Feb. 2013, doi: 10.25300/MISQ/2013/37.2.01.\u003c/li\u003e\n\u003cli\u003eC. Preidel and A. A. Borrmann, \u0026ldquo;Towards code compliance checking on the basis of a visual programming language,\u0026rdquo; \u003cem\u003eJ. Inf. Technol. Constr.\u003c/em\u003e, vol. 21, no. 25, pp. 402\u0026ndash;421, Nov. 2016, doi: http://www.itcon.org/2016/25. ISSN 1874-4753.\u003c/li\u003e\n\u003cli\u003eD. Calvetti, P. M\u0026ecirc;da, E. Hjelseth, and H. de Sousa, \u0026ldquo;Incremental digital twin framework: A design science research approach for practical deployment,\u0026rdquo; \u003cem\u003eAutom. Constr.\u003c/em\u003e, vol. 170, p. 105954, Feb. 2025, doi: 10.1016/j.autcon.2024.105954.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-applied-sciences","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Applied Sciences](https://link.springer.com/journal/42452)","snPcode":"42452","submissionUrl":"https://submission.springernature.com/new-submission/42452/3","title":"Discover Applied Sciences","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Building information modelling (BIM), ISO 19650, DMBoK2, BIM data governance, BIM management framework","lastPublishedDoi":"10.21203/rs.3.rs-9049000/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9049000/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003ePurpose\u003c/h2\u003e \u003cp\u003eBuilding Information Modeling (BIM) projects increasingly require structured information management based on the ISO 19650 standard; however, this standard provides limited guidance on governance maturity, security mechanisms, and long-term data lifecycle control. This study aims to address this gap by developing an integrated BIM data governance framework that combines ISO 19650 workflows with DMBoK2 governance principles.\u003c/p\u003e\u003ch2\u003eDesign/Methodology/Approach:\u003c/h2\u003e \u003cp\u003eThe study developed the ISO\u0026ndash;DMBoK2 BIM Management Framework (IDBMF) using the Design Science Research (DSR) method. The framework was piloted on a four-story reinforced concrete apartment project modeled in ArchiCAD and executed on a Common Data Environment (CDE). Key performance indicators (KPIs) derived from ISO 19650 and DMBoK2 were used to evaluate documentation accuracy, interoperability efficiency, security compliance, and governance maturity.\u003c/p\u003e\u003ch2\u003eFindings:\u003c/h2\u003e \u003cp\u003eThe pilot implementation demonstrated measurable improvements in BIM data governance. Documentation consistency increased by 28%, interoperability errors decreased by 77%, and security compliance improved by 92%.\u003c/p\u003e\u003ch2\u003eOriginality/Value:\u003c/h2\u003e \u003cp\u003eThis study is the first approach to systematically integrate the structured information management processes of ISO 19650 with the governance domains of DMBoK2. The proposed IDBMF offers a scalable and measurable data governance model that enhances documentation, interoperability, security, and lifecycle adaptability.\u003c/p\u003e\u003ch2\u003eLimitations/Future Work:\u003c/h2\u003e \u003cp\u003eFindings are limited in generalizability as they are based on a single pilot case. Future research is recommended to test the framework in different project types, examine AI driven validation mechanisms, and explore blockchain-based audit trails.\u003c/p\u003e","manuscriptTitle":"Developing an ISO–DMBoK2 Integrated Framework for BIM Data Governance: Conceptual Model and Pilot Demonstration","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-20 12:06:32","doi":"10.21203/rs.3.rs-9049000/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-05-05T16:30:09+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-16T22:41:29+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-08T11:58:25+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"21330176254530791486685237751381215024","date":"2026-04-07T05:33:14+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"232972286695326636576786914712118027684","date":"2026-04-05T06:21:33+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-03-26T15:28:45+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"167730743090813474927316188055476657545","date":"2026-03-24T08:19:37+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-03-18T04:56:03+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2026-03-16T04:35:18+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-03-10T15:08:01+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-03-10T15:07:08+00:00","index":"","fulltext":""},{"type":"submitted","content":"Discover Applied Sciences","date":"2026-03-06T09:46:35+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"discover-applied-sciences","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Applied Sciences](https://link.springer.com/journal/42452)","snPcode":"42452","submissionUrl":"https://submission.springernature.com/new-submission/42452/3","title":"Discover Applied Sciences","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"8c22a2bc-f614-4ea8-b347-f65589b05667","owner":[],"postedDate":"March 20th, 2026","published":true,"recentEditorialEvents":[{"type":"decision","content":"Revision requested","date":"2026-05-05T16:30:09+00:00","index":"","fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-05-15T18:38:48+00:00","versionOfRecord":[],"versionCreatedAt":"2026-03-20 12:06:32","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9049000","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9049000","identity":"rs-9049000","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}