Global Visibility of the University of Namibia’s Digital Repositories: A Critical Analysis of Discoverability Through Generic Search Engines

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This is largely facilitated through digital repositories and related OA initiatives, which serve as critical infrastructures for global knowledge dissemination. Openly available research enhances discoverability, fosters knowledge equity, and contributes meaningfully to national and regional development goals. This study investigates the global visibility of the University of Namibia's (UNAM) digital institutional repositories. A sample of fifty (50) digital resources from the UNAM Library's repositories was randomly selected and assessed through search queries across five widely used search engines: Google, Yahoo, Baidu, Yandex, and Bing. Search terms included subject-specific keywords and varied combinations of titles and descriptors. The findings reveal that Google significantly outperforms the other search engines in indexing and retrieving UNAM’s repository content, whereas visibility on the remaining platforms was negligible or non-existent. The study underscores the need for enhanced search engine optimization (SEO), improved metadata structuring, and strategic repository management to ensure broader access and visibility of African research outputs on the digital global landscape. Library Science Global visibility University of Namibia Digital institutional repository Open access Search engines Metadata 1. Introduction Before the digital transformation of scholarly communication, researchers primarily relied on traditional publishing channels, academic societies, and established publishers for disseminating their work [ 1 ]. However, with the growing presence of the internet, scholarly communication shifted toward open access (OA) models, where institutional repositories (IRs) have become crucial. Movements such as the Budapest Open Access Initiative and other global OA frameworks have supported the unrestricted availability of research outputs, urging scholars to deposit their works in accessible repositories [ 2 , 3 ]. The concept of repositories is widely and increasingly growing. While there may not be a single authoritative definition, this study adopts the framing provided by Mutis and Kitchen [ 4 ], who define repositories as “digital platforms for storing scholarly and research materials, including books, journal articles, theses, and other outputs.” The increase in research output has encouraged many academic institutions to give priority to the development of repositories to ensure preservation, discoverability, and public access. The University of Namibia (UNAM), as one of the country’s three largest universities, is no exception. UNAM started its institutional repository in 2012 and followed with a digital repository in 2019 to expand access to scholarly materials. The nitiative aligns with the 2014 UNAM Research Policy [ 5 ], which aims to enhance the university’s research contributions toward national development objectives. These repositories now house a diverse collection of academic artifacts—books, theses, dissertations, journal articles, and other digital resources—freely accessible online. For UNAM’s research outputs to remain relevant in the global scholarly ecosystem, they must be widely visible and accessible. This study therefore examines the global visibility of UNAM’s open repositories (ORs), evaluating their reach, discoverability, and role in advancing the university’s commitment to open access. 2. Related Studies Mosha and Ngulube conducted a systematic review of metadata standards used in research data repositories within higher education institutions [ 6 ]. Their study analysed 13 peer-reviewed articles published between 2003 and 2023, focusing on how metadata supports the preservation, discovery, and reuse of research data. They emphasised the importance of descriptive, structural, and administrative metadata, the study found inadequate evidence on how these standards are effectively applied to enhance discoverability. Remarkably, the study discovered that there is a lack of institutional case studies from African contexts and highlighted challenges of not having technical expertise and inconsistent metadata practices. The study recommended the adoption of FAIR, CARE, and TRUST principles to help guide metadata design; another suggestion was for more empirical studies on metadata effectiveness in real-world repository space. Another related study is that of Chapman, Reynolds, and Shreeves who explored the heterogeneity of metadata practices across three major institutional repositories using DSpace [ 7 ]. Their study revealed that metadata is often generated through multiple workflows ranging from automated imports to manual entry by librarians or researchers, resulting in inconsistent quality. They also identified challenges in enforcing metadata standards, especially when relying on self-archiving by faculty. The study recommended local customisation of metadata workflows and emphasised the need for institutional commitment to metadata quality assurance. Their findings remain relevant for repositories contending with scalability and metadata governance. Polak presented a reflective analysis of search engine indexing approached, focusing on Yandex’s evolution over 25 years [ 8 ]. While not a peer-reviewed empirical study, Polak’s work provides valuable insight into how Yandex’s linguistic algorithms and regional indexing strategies have enabled it to outperform global competitors like Google in Russian-language contexts. The article underscores Yandex’s ability to retrieve 100% of targeted resources in controlled tests, suggesting strong compatibility with structured metadata. Although the study is region-specific, it offers a comparative lens for understanding how search engines interpret and rank repository content. 2.1. Identified Research Gap While these studies provide foundational insights into metadata standards, repository workflows, and search engine behaviour, few have explicitly linked search engine visibility with internal user engagement analytics particularly within African institutional repositories. There is a notable absence of empirical research that examines how metadata quality and indexing performance correlate with user behaviour metrics such as page views, and item downloads. This gap is especially noticeable in the context of underrepresented knowledge systems and repositories in the Global South. 3. Methodology This study adopted a qualitative content analysis approach supplemented by system-generated analytics. In addition to assessing resource discoverability via external search engines, the study incorporated internal repository analytics data to evaluate indexing patterns and user interaction metrics. Data sources included the DSpace statistics module which offered insight into search impressions, such as views and downloads of items hosted in both the repository repositories under study. The research employed a purposive sample of fifty (50) digital items that were randomly selected from two primary digital repositories platforms: the UNAM Institutional Repository (IR) and the Digital Repository (DR). The selected resources were analysed based on their retrievability via major global search engines. Each resource title was paired with relevant long-tail keywords reflecting its subject area. These keywords were then queried across five widely used search engines: Google, Yahoo, Bing, Baidu, and Yandex. An additional search was conducted using CORE, a global aggregator of open access research outputs. The search results were evaluated based on whether the selected items were indexed and discoverable, and whether the results linked directly to UNAM repository pages. 4. Results The following section presents the results and analysis the data collected Table 1 : The summary of search engine performance in retrieving the sampled items Search Engine Items Searched Items Discovered Items Not Discovered Baidu 50 2 48 Yahoo 50 46 4 Bing 50 46 4 Google 50 50 0 Yandex 50 50 0 CORE 50 0 50 Table 1 data highlighted that Baidu, China’s leading search engine, had the lowest retrieval rate. Of the 50 resources searched, only two (2) were discoverable, representing a 6% success rate. This may be attributed to Baidu’s region-specific indexing algorithms, which prioritise Chinese language and locally hosted content [9]. Yahoo, an early web search engine founded in 1994 by Jerry Yang and David Filo [10], demonstrated a relatively high discovery rate. Of the 50 items searched, 46 were indexed (92%), signifying a far-reaching compatibility with English-language repositories and standard metadata structures. Bing, a search engine developed by Microsoft and launched in 2009, indexed 46 items (92%) out of the 50 searched matching Yahoo’s performance. Bing’s web crawlers effectively retrieved repository content, showing compatibility with UNAM’s metadata configurations [11]. Google indexed and retrieved all 50 selected resources, achieving 100% visibility. This is likely due to its advanced indexing infrastructure and dominant market share [12]. In addition, DSpace repositories are designed to be indexed by both Google and Google Scholar. Hence, Google’s discoverability efficiency affirms its role as the most effective platform for accessing UNAM’s digital content. Yandex, a search engine developed by Arkady Volozh and Ilya Segalovich [13], is Russia’s primary search engine and yielded a 100% retrieval rate. According to TechConfronts [14], Yandex is less known globally. However, Yandex’s indexing system successfully located all targeted resources, indicating strong search engine compatibility despite its regional focus. CORE (Connecting Repositories), a nonprofit initiative supported by JISC in the UK, aggregates content from repositories that expose their metadata via the OAI-PMH protocol [15]. However, CORE returned no accessible results. Because UNAM’s repository hasn’t registered with CORE and lacks a properly configured OAI-PMH endpoint, it cannot be indexed. Consequently, its repository outputs are excluded from CORE’s harvesting activities, limiting global OA exposure through this aggregator. Bar Chart 1: Visibility of UNAM Repositories through search engines Bar chart 1 illustrates the percentage of indexed digital resources across six search engines. A closer examination of the data reveals that nearly all fifty (50) sampled items from UNAM’s repositories are discoverable via the most widely used global search engines. This suggests strong alignment with international indexing standards and considerable exposure of UNAM’s scholarly output within the digital knowledge ecosystem Table 2: Geographic distribution of views from UNAM Digital Repositories. The usage data presented in table 2 confirms a widespread international interest in UNAM’s Namibiana collection. Notably, the highest number of views are from China (565) and the United States (315), followed by South Africa (186) and Namibia (175). This distribution emphasis not only the relevance of Namibian content to the global research community but also the repository’s ability to reach diverse audiences across continents. Table 3 : Geographic distribution of views from the UNAM Institutional Repository. The usage data in table 3 shows a strong pattern of international engagement with the UNAM Institutional Repository. However, the standout figure is from China, recording 13,620 views, significantly ahead of all other countries. The United States (2,952) and Germany (268) also reflect stable interest, probable linked to academic institutions and research collaborations across disciplines. This distribution confirms the UNAMs repository’s global reach, particularly among countries with strong research infrastructures or growing academic ties to African scholarship. When paired with prior visibility analysis across search engines, these figures strongly suggest that not only is UNAM’s content indexable, but it is actively consumed at a global scale an important indicator of digital scholarship relevance and repository impact. The distribution in figure 4 highlights significant variation in how different genres are consumed. Books lead by a wide margin with 11,900 views and 4,100 downloads, reasserting their vital role in engaging both academic and public audiences. Interestingly, Whereas, technical reports show lower in views, it exhibits a higher download-to-view ratio, signifying targeted use for practical or research-driven purposes. Oral recordings had the lowest interaction counts, which may point to limited metadata exposure, format accessibility issues, or underrepresentation in user outreach. These insights suggest an opportunity to further promote less-accessed formats through improved metadata tagging or interface visibility. Line chart 1 : Download statistics from the UNAM Institutional Repository The data in line chart 1 depict a firm long-term increase in repository usage, with a notably increase in 2024, with over 1 million downloads, tailed by a decline to 517,841 in early 2025. This trend may reflect successful awareness campaigns, academic calendar cycles. What is noteworthy is the constant rising trajectory since 2015, with eloquent increases from 2023 to the fore. This suggests that the repository is not only technically accessible but has become a valuable scholarly destination. Moreover, the manual search engine testing, repository analytics retrieved through the Dspace analytical model showing User Engagement Insights. The repository analytics, as demonstrated in Tables 1 to 4, provide concrete evidence of the University of Nambia's growing global digital footprint. The UNAM Digital Repository and Institutional Repository have both illustrated a substantial viewership and downloads from across the world most notably from China, the United States, Germany, South Africa, and Namibia. This confirms that the collections are not only indexed by major search engines but also serve as valuable research and cultural resources internationally. This dual analysis of viewership and download behaviour tells the repositories’ relevance in both academic referencing and knowledge consumption. Moreover, the geographic diversity of interactions aligns with earlier visibility findings, confirming that UNAM’s repository infrastructure is not only technically accessible but actively engaged with by international users. 5. Discussion of Findings The following discussion interprets the findings considering the study’s objectives and offers recommendations for enhancing the visibility and utility of UNAM’s institutional repositories (IRs). Firstly, the results demonstrate that UNAM’s repositories are fully operational, using DSpace the most preferred repository platform among higher education institutions globally [ 16 ]. This technological foundation supports long-term preservation and public dissemination of research outputs. The volume and diversity of content indexed reflect a growing institutional commitment to digital scholarship and open access (OA) [ 16 ]. Secondly, looking at the results, UNAM’s repositories appear to be well configured for harvesting by mainstream search engines such as Google, Bing, and Google Scholar. These platforms consistently returned indexed results, confirming that repository metadata is sufficiently optimized for external discoverability. This is consistent with trends reported in South Africa, where institutional repositories are aligned with national and regional OA aggregators [ 17 ]. While DSpace provides integrated tools for indexing and discoverability [ 16 ], Muttis and Kitchen argue that proactive strategies such as metadata enhancement, persistent identifiers, and search engine optimisation remain essential for maximising visibility [ 17 ]. Lastly, the findings affirm UNAM’s contribution to open access. Because of the widespread indexing of dissertations, conference papers, and other scholarly materials using DSpace software repositories that can be retrieved using the generic search engines like Google and Google Scholar, reflecting growing alignment with OA principles [ 16 ]. This is further supported by the broader African context, where surveys by Muttis and Kitchen confirm that 100% of operational African repositories follow OA mandates [ 18 ]. On the contrary, studies by Yule and Nengomasha [ 19 ] and Yule and Henock [ 20 ] highlight ongoing challenges related to researcher participation, including limited awareness and inconsistent use of the repository. Recommending that the concerns be addressed but these may require structured training initiatives and sensitisation campaigns across UNAM’s academic community. 6. Conclusion and Recommendations This study set out to assess the global visibility of the University of Namibia’s institutional repositories by evaluating the discoverability of selected digital resources through widely used search engines. The findings affirm that UNAM’s repositories though well-structured and hosted on the DSpace platform exhibit varying degrees of visibility across platforms, with Google and Yandex demonstrating 100% retrieval, while Baidu and CORE showed limited or no discoverability. The analysis reinforces the critical role of metadata quality, repository configuration, and search engine optimisation (SEO) in enhancing visibility. While UNAM has made commendable strides in supporting open access, the study also identified institutional gaps, particularly around content aggregation, researcher engagement, and integration with international platforms like CORE. 6.1. Recommendations: The study recommends the following: 1. Improve Metadata structuring using controlled vocabularies, persistent identifiers such as the Digital Object Identifier (DOIs), and enriched descriptive fields to strengthen indexing by global aggregators and search engines. 2. Ensure that UNAM’s repositories are listed with major OA platforms such as CORE, BASE, and OpenAIRE to increase global reach and integration 3. Conduct continuous training for faculty, students, and repository staff on the importance of IRs, metadata accuracy, and scholarly visibility through open access platforms. 4. Strengthen UNAM’s open access policy by mandating self-archiving and reinforcing compliance with digital preservation best practices. 5. Periodically assess repository indexing performance across search engines and implement recommendations from digital curation assessments. 6. Lastly, while this study affirms that UNAM’s repositories are largely visible through mainstream search engines, sustained visibility requires ongoing performance monitoring. Tools such as Google Search Console, CORE Repository Analytics, or DSpace statistical modules offer data on search impressions, referral paths, and click-through rates. Such insights can inform periodic metadata audits, repository content optimisation, and indexing strategies ensuring continued alignment with global OA visibility standards. 7. Contribution of the study This study contributes to ongoing discussion on open access in African contexts and emphasises the need for intentional strategies that promote equality in global scholarly visibility. Future research may explore interoperability frameworks between African repositories and regional OA infrastructures, as well as the role of linked open data in enhancing digital scholarship. References Dunlap, I.H.: Going digital: The transformation of scholarly communication and academic libraries. Policy Futures in Education. 6(1), 132–140 (2008). https://doi.org/10.2304/pfie.2008.6.1.132 Budapest Open Access Initiative: Read the Budapest Open Access Initiative. https://www.budapestopenaccessinitiative.org/read (2002) Kahn, M., Van der Walt, I., Van Schalkwyk, F.: The state of open access in South Africa. In: Chan, L., Mornati, S. (eds.) Open Access: The Road to Freedom, pp. 25–38. 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(2013). https://www.researchgate.net/publication/291074511 Wilson, K., Kiuna, A., Lamptey, R., Veldsman, S., Montgomery, L., Neylon, C., Hosking, R., Huang, C., Ozaygen, A.: Open access and research dissemination in Africa. In: Proc. 24th Int. Conf. Electron. Publ. (ELPUB 2020) . https://doi.org/10.4000/proceedings.elpub.2020.28 Charts Charts are available in the Supplementary Files section. Additional Declarations The authors declare no competing interests. Supplementary Files Charts.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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07:01:12","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":437452,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8635825/v1/4a05cb60-7f49-4bf7-b06d-cc04d34e7345.pdf"},{"id":100800920,"identity":"439adc5e-3723-4fd8-8b0a-5bf6e04f2c30","added_by":"auto","created_at":"2026-01-21 14:03:47","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":171883,"visible":true,"origin":"","legend":"","description":"","filename":"Charts.docx","url":"https://assets-eu.researchsquare.com/files/rs-8635825/v1/cba076f540c964a3c160f74a.docx"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cem\u003eGlobal Visibility of the University of Namibia’s Digital Repositories: A Critical Analysis of Discoverability Through Generic Search Engines\u003c/em\u003e\u003c/p\u003e","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eBefore the digital transformation of scholarly communication, researchers primarily relied on traditional publishing channels, academic societies, and established publishers for disseminating their work [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. However, with the growing presence of the internet, scholarly communication shifted toward open access (OA) models, where institutional repositories (IRs) have become crucial. Movements such as the Budapest Open Access Initiative and other global OA frameworks have supported the unrestricted availability of research outputs, urging scholars to deposit their works in accessible repositories [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe concept of repositories is widely and increasingly growing. While there may not be a single authoritative definition, this study adopts the framing provided by Mutis and Kitchen [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e], who define repositories as \u0026ldquo;digital platforms for storing scholarly and research materials, including books, journal articles, theses, and other outputs.\u0026rdquo; The increase in research output has encouraged many academic institutions to give priority to the development of repositories to ensure preservation, discoverability, and public access. The University of Namibia (UNAM), as one of the country\u0026rsquo;s three largest universities, is no exception. UNAM started its institutional repository in 2012 and followed with a digital repository in 2019 to expand access to scholarly materials. The nitiative aligns with the 2014 UNAM Research Policy [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e], which aims to enhance the university\u0026rsquo;s research contributions toward national development objectives. These repositories now house a diverse collection of academic artifacts\u0026mdash;books, theses, dissertations, journal articles, and other digital resources\u0026mdash;freely accessible online. For UNAM\u0026rsquo;s research outputs to remain relevant in the global scholarly ecosystem, they must be widely visible and accessible. This study therefore examines the global visibility of UNAM\u0026rsquo;s open repositories (ORs), evaluating their reach, discoverability, and role in advancing the university\u0026rsquo;s commitment to open access.\u003c/p\u003e"},{"header":"2. Related Studies","content":"\u003cp\u003eMosha and Ngulube conducted a systematic review of metadata standards used in research data repositories within higher education institutions [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Their study analysed 13 peer-reviewed articles published between 2003 and 2023, focusing on how metadata supports the preservation, discovery, and reuse of research data. They emphasised the importance of descriptive, structural, and administrative metadata, the study found inadequate evidence on how these standards are effectively applied to enhance discoverability. Remarkably, the study discovered that there is a lack of institutional case studies from African contexts and highlighted challenges of not having technical expertise and inconsistent metadata practices. The study recommended the adoption of FAIR, CARE, and TRUST principles to help guide metadata design; another suggestion was for more empirical studies on metadata effectiveness in real-world repository space.\u003c/p\u003e \u003cp\u003eAnother related study is that of Chapman, Reynolds, and Shreeves who explored the heterogeneity of metadata practices across three major institutional repositories using DSpace [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Their study revealed that metadata is often generated through multiple workflows ranging from automated imports to manual entry by librarians or researchers, resulting in inconsistent quality. They also identified challenges in enforcing metadata standards, especially when relying on self-archiving by faculty. The study recommended local customisation of metadata workflows and emphasised the need for institutional commitment to metadata quality assurance. Their findings remain relevant for repositories contending with scalability and metadata governance.\u003c/p\u003e \u003cp\u003ePolak presented a reflective analysis of search engine indexing approached, focusing on Yandex\u0026rsquo;s evolution over 25 years [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. While not a peer-reviewed empirical study, Polak\u0026rsquo;s work provides valuable insight into how Yandex\u0026rsquo;s linguistic algorithms and regional indexing strategies have enabled it to outperform global competitors like Google in Russian-language contexts. The article underscores Yandex\u0026rsquo;s ability to retrieve 100% of targeted resources in controlled tests, suggesting strong compatibility with structured metadata. Although the study is region-specific, it offers a comparative lens for understanding how search engines interpret and rank repository content.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Identified Research Gap\u003c/h2\u003e \u003cp\u003eWhile these studies provide foundational insights into metadata standards, repository workflows, and search engine behaviour, few have explicitly linked search engine visibility with internal user engagement analytics particularly within African institutional repositories. There is a notable absence of empirical research that examines how metadata quality and indexing performance correlate with user behaviour metrics such as page views, and item downloads. This gap is especially noticeable in the context of underrepresented knowledge systems and repositories in the Global South.\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Methodology","content":"\u003cp\u003eThis study adopted a qualitative content analysis approach supplemented by system-generated analytics. In addition to assessing resource discoverability via external search engines, the study incorporated internal repository analytics data to evaluate indexing patterns and user interaction metrics. Data sources included the DSpace statistics module which offered insight into search impressions, such as views and downloads of items hosted in both the repository repositories under study.\u003c/p\u003e \u003cp\u003eThe research employed a purposive sample of fifty (50) digital items that were randomly selected from two primary digital repositories platforms: the UNAM Institutional Repository (IR) and the Digital Repository (DR). The selected resources were analysed based on their retrievability via major global search engines. Each resource title was paired with relevant long-tail keywords reflecting its subject area. These keywords were then queried across five widely used search engines: Google, Yahoo, Bing, Baidu, and Yandex. An additional search was conducted using CORE, a global aggregator of open access research outputs. The search results were evaluated based on whether the selected items were indexed and discoverable, and whether the results linked directly to UNAM repository pages.\u003c/p\u003e"},{"header":"4. Results","content":"\u003cp\u003eThe following section presents the results and analysis the data collected\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e: The summary of search engine performance in retrieving the sampled items\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" cellpadding=\"0\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eSearch Engine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eItems Searched\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eItems Discovered\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eItems Not Discovered\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eBaidu\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eYahoo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eBing\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eGoogle\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eYandex\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eCORE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eTable 1 data highlighted that Baidu, China\u0026rsquo;s leading search engine, had the lowest retrieval rate. Of the 50 resources searched, only two (2) were discoverable, representing a 6% success rate. This may be attributed to Baidu\u0026rsquo;s region-specific indexing algorithms, which prioritise Chinese language and locally hosted content [9]. Yahoo, an early web search engine founded in 1994 by Jerry Yang and David Filo [10], demonstrated a relatively high discovery rate. Of the 50 items searched, 46 were indexed (92%), signifying a far-reaching compatibility with English-language repositories and standard metadata structures. Bing, a search engine developed by Microsoft and launched in 2009, indexed 46 items (92%) out of the 50 searched matching Yahoo\u0026rsquo;s performance. Bing\u0026rsquo;s web crawlers effectively retrieved repository content, showing compatibility with UNAM\u0026rsquo;s metadata configurations [11]. Google indexed and retrieved all 50 selected resources, achieving 100% visibility. This is likely due to its advanced indexing infrastructure and dominant market share [12]. In addition, DSpace repositories are designed to be indexed by both Google and Google Scholar. Hence, Google\u0026rsquo;s discoverability efficiency affirms its role as the most effective platform for accessing UNAM\u0026rsquo;s digital content. Yandex, a search engine developed by Arkady Volozh and Ilya Segalovich [13], is Russia\u0026rsquo;s primary search engine and yielded a 100% retrieval rate. According to TechConfronts [14], Yandex is less known globally. However, Yandex\u0026rsquo;s indexing system successfully located all targeted resources, indicating strong search engine compatibility despite its regional focus. CORE (Connecting Repositories), a nonprofit initiative supported by JISC in the UK, aggregates content from repositories that expose their metadata via the OAI-PMH protocol [15]. However, CORE returned no accessible results. Because UNAM\u0026rsquo;s repository hasn\u0026rsquo;t registered with CORE and lacks a properly configured OAI-PMH endpoint, it cannot be indexed. Consequently, its repository outputs are excluded from CORE\u0026rsquo;s harvesting activities, limiting global OA exposure through this aggregator.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBar Chart 1:\u003c/strong\u003e Visibility of UNAM Repositories through search engines\u003c/p\u003e\n\u003cp\u003eBar chart 1 illustrates the percentage of indexed digital resources across six search engines. A closer examination of the data reveals that nearly all fifty (50) sampled items from UNAM\u0026rsquo;s repositories are discoverable via the most widely used global search engines. This suggests strong alignment with international indexing standards and considerable exposure of UNAM\u0026rsquo;s scholarly output within the digital knowledge ecosystem\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2:\u003c/strong\u003e Geographic distribution of views from UNAM Digital Repositories.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eThe usage data presented in table 2 confirms a widespread international interest in UNAM\u0026rsquo;s Namibiana collection. Notably, the highest number of views are from China (565) and the United States (315), followed by South Africa (186) and Namibia (175). This distribution emphasis not only the relevance of Namibian content to the global research community but also the repository\u0026rsquo;s ability to reach diverse audiences across continents.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e: Geographic distribution of views from the UNAM Institutional Repository.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eThe usage data in table 3 shows a strong pattern of international engagement with the UNAM Institutional Repository. However, the standout figure is from China, recording 13,620 views, significantly ahead of all other countries. The United States (2,952) and Germany (268) also reflect stable interest, probable linked to academic institutions and research collaborations across disciplines. This distribution confirms the UNAMs repository\u0026rsquo;s global reach, particularly among countries with strong research infrastructures or growing academic ties to African scholarship. When paired with prior visibility analysis across search engines, these figures strongly suggest that not only is UNAM\u0026rsquo;s content indexable, but it is actively consumed at a global scale an important indicator of digital scholarship relevance and repository impact.\u003c/p\u003e\n\u003cp\u003eThe distribution in figure 4 highlights significant variation in how different genres are consumed. Books lead by a wide margin with 11,900 views and 4,100 downloads, reasserting their vital role in engaging both academic and public audiences. Interestingly, Whereas, technical reports show lower in views, it exhibits a higher download-to-view ratio, signifying targeted use for practical or research-driven purposes.\u003c/p\u003e\n\u003cp\u003eOral recordings had the lowest interaction counts, which may point to limited metadata exposure, format accessibility issues, or underrepresentation in user outreach. These insights suggest an opportunity to further promote less-accessed formats through improved metadata tagging or interface visibility.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLine chart 1\u003c/strong\u003e: \u0026nbsp;Download statistics from the UNAM Institutional Repository\u003c/p\u003e\n\u003cp\u003eThe data in line chart 1 depict a firm long-term increase in repository usage, with a notably increase in 2024, with over 1 million downloads, tailed by a decline to 517,841 in early 2025. This trend may reflect successful awareness campaigns, academic calendar cycles.\u003c/p\u003e\n\u003cp\u003eWhat is noteworthy is the constant rising trajectory since 2015, with eloquent increases from 2023 to the fore. This suggests that the repository is not only technically accessible but has become a valuable scholarly destination.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMoreover, the manual search engine testing, repository analytics retrieved through the Dspace analytical model showing\u0026nbsp;User Engagement Insights.\u0026nbsp;The repository analytics, as demonstrated in Tables 1 to 4, provide concrete evidence of the University of Nambia\u0026apos;s growing global digital footprint. The UNAM Digital Repository and Institutional Repository have both illustrated a substantial viewership and downloads from across the world most notably from China, the United States, Germany, South Africa, and Namibia. This confirms that the collections are not only indexed by major search engines but also serve as valuable research and cultural resources internationally.\u003c/p\u003e\n\u003cp\u003eThis dual analysis of viewership and download behaviour tells the repositories\u0026rsquo; relevance in both academic referencing and knowledge consumption. Moreover, the geographic diversity of interactions aligns with earlier visibility findings, confirming that UNAM\u0026rsquo;s repository infrastructure is not only technically accessible but actively engaged with by international users.\u003c/p\u003e"},{"header":"5. Discussion of Findings","content":"\u003cp\u003eThe following discussion interprets the findings considering the study\u0026rsquo;s objectives and offers recommendations for enhancing the visibility and utility of UNAM\u0026rsquo;s institutional repositories (IRs).\u003c/p\u003e \u003cp\u003eFirstly, the results demonstrate that UNAM\u0026rsquo;s repositories are fully operational, using DSpace the most preferred repository platform among higher education institutions globally [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. This technological foundation supports long-term preservation and public dissemination of research outputs. The volume and diversity of content indexed reflect a growing institutional commitment to digital scholarship and open access (OA) [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eSecondly, looking at the results, UNAM\u0026rsquo;s repositories appear to be well configured for harvesting by mainstream search engines such as Google, Bing, and Google Scholar. These platforms consistently returned indexed results, confirming that repository metadata is sufficiently optimized for external discoverability. This is consistent with trends reported in South Africa, where institutional repositories are aligned with national and regional OA aggregators [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. While DSpace provides integrated tools for indexing and discoverability [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e], Muttis and Kitchen argue that proactive strategies such as metadata enhancement, persistent identifiers, and search engine optimisation remain essential for maximising visibility [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eLastly, the findings affirm UNAM\u0026rsquo;s contribution to open access. Because of the widespread indexing of dissertations, conference papers, and other scholarly materials using DSpace software repositories that can be retrieved using the generic search engines like Google and Google Scholar, reflecting growing alignment with OA principles [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. This is further supported by the broader African context, where surveys by Muttis and Kitchen confirm that 100% of operational African repositories follow OA mandates [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. On the contrary, studies by Yule and Nengomasha [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] and Yule and Henock [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e] highlight ongoing challenges related to researcher participation, including limited awareness and inconsistent use of the repository. Recommending that the concerns be addressed but these may require structured training initiatives and sensitisation campaigns across UNAM\u0026rsquo;s academic community.\u003c/p\u003e"},{"header":"6. Conclusion and Recommendations","content":"\u003cp\u003eThis study set out to assess the global visibility of the University of Namibia’s institutional repositories by evaluating the discoverability of selected digital resources through widely used search engines. The findings affirm that UNAM’s repositories though well-structured and hosted on the DSpace platform exhibit varying degrees of visibility across platforms, with Google and Yandex demonstrating 100% retrieval, while Baidu and CORE showed limited or no discoverability.\u003c/p\u003e\n\u003cp\u003eThe analysis reinforces the critical role of metadata quality, repository configuration, and search engine optimisation (SEO) in enhancing visibility. While UNAM has made commendable strides in supporting open access, the study also identified institutional gaps, particularly around content aggregation, researcher engagement, and integration with international platforms like CORE.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e6.1.\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Recommendations:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study recommends the following:\u003c/p\u003e\n\u003cp\u003e1.\u0026nbsp; \u0026nbsp;Improve Metadata structuring using controlled vocabularies, persistent identifiers such as the Digital Object Identifier (DOIs), and enriched descriptive fields to strengthen indexing by global aggregators and search engines.\u003c/p\u003e\n\u003cp\u003e2.\u0026nbsp; \u0026nbsp;Ensure that UNAM’s repositories are listed with major OA platforms such as CORE, BASE, and OpenAIRE to increase global reach and integration\u003c/p\u003e\n\u003cp\u003e3.\u0026nbsp; \u0026nbsp;Conduct continuous training for faculty, students, and repository staff on the importance of IRs, metadata accuracy, and scholarly visibility through open access platforms.\u003c/p\u003e\n\u003cp\u003e4.\u0026nbsp; \u0026nbsp;Strengthen UNAM’s open access policy by mandating self-archiving and reinforcing compliance with digital preservation best practices.\u003c/p\u003e\n\u003cp\u003e5.\u0026nbsp; \u0026nbsp;Periodically assess repository indexing performance across search engines and implement recommendations from digital curation assessments.\u003c/p\u003e\n\u003cp\u003e6. \u0026nbsp; Lastly, while this study affirms that UNAM’s repositories are largely visible through mainstream search engines, sustained visibility requires ongoing performance monitoring. Tools such as Google Search Console, CORE Repository Analytics, or DSpace statistical modules offer data on search impressions, referral paths, and click-through rates. Such insights can inform periodic metadata audits, repository content optimisation, and indexing strategies ensuring continued alignment with global OA visibility standards.\u003c/p\u003e"},{"header":"7.\tContribution of the study","content":"\u003cp\u003eThis study contributes to ongoing discussion on open access in African contexts and emphasises the need for intentional strategies that promote equality in global scholarly visibility. Future research may explore interoperability frameworks between African repositories and regional OA infrastructures, as well as the role of linked open data in enhancing digital scholarship.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eDunlap, I.H.: Going digital: The transformation of scholarly communication and academic libraries. Policy Futures in Education. 6(1), 132\u0026ndash;140 (2008). https://doi.org/10.2304/pfie.2008.6.1.132\u003c/li\u003e\n \u003cli\u003eBudapest Open Access Initiative: Read the Budapest Open Access Initiative. https://www.budapestopenaccessinitiative.org/read (2002)\u003c/li\u003e\n \u003cli\u003eKahn, M., Van der Walt, I., Van Schalkwyk, F.: The state of open access in South Africa. In: Chan, L., Mornati, S. (eds.) Open Access: The Road to Freedom, pp. 25\u0026ndash;38. UNESCO, Paris (2014)\u003c/li\u003e\n \u003cli\u003eMutis, T., Kitchen, J.: Repositories as digital platforms for scholarly communication. Unpublished manuscript (n.d.)\u003c/li\u003e\n \u003cli\u003eUniversity of Namibia: Research Policy. University of Namibia, Windhoek (2014)\u003c/li\u003e\n \u003cli\u003eMosha, N.F., Ngulube, P.: Metadata standard for continuous preservation, discovery, and reuse of research data in repositories by higher education institutions: A systematic review. Information. 14(8), 427 (2023). https://doi.org/10.3390/info14080427\u003c/li\u003e\n \u003cli\u003eChapman, J.W., Reynolds, D., Shreeves, S.L.: Repository metadata: Approaches and challenges. Cataloging \u0026amp; Classification Quarterly. 47(3\u0026ndash;4), 309\u0026ndash;325 (2009). https://doi.org/10.1080/01639370902735020\u003c/li\u003e\n \u003cli\u003ePolak, A.: Yandex indexing strategies and linguistic optimization: A retrospective analysis. Digital Search Review. 12(1), 45\u0026ndash;58 (2024)\u003c/li\u003e\n \u003cli\u003eLi, X.: Regional indexing limitations of Baidu and implications for global repository visibility. Journal of East Asian Information Systems. 18(2), 77\u0026ndash;89 (2022)\u003c/li\u003e\n \u003cli\u003ePandey, E., Srivastava, K., Gupta, S., Srivastava, S., Mishra, N.: Some biocompatible materials used in medical practices\u0026mdash;A review. Int J Pharm Sci Res. 7(7), 2748\u0026ndash;2755 (2016). https://doi.org/10.13040/IJPSR.0975-8232.7(7).2748-55\u003c/li\u003e\n \u003cli\u003eMicrosoft Corporation: New Bing Search APIs v7 Preview \u0026ndash; Faster, smarter and easier than ever. Microsoft Bing Blog (2017). https://blogs.bing.com/search-quality-insights/2017-05/new-bing-search-apis-v7-preview-faster-smarter-and-easier-than-ever\u003c/li\u003e\n \u003cli\u003eGraham, M.: Digital labour and development: Impacts of global digital labour platforms and the gig economy on worker livelihoods. Transfer. 23(2), 135\u0026ndash;162 (2017). https://doi.org/10.1177/1024258916687250\u003c/li\u003e\n \u003cli\u003ePolak, A.: Yandex indexing strategies and linguistic optimization: A retrospective analysis. Digital Search Review. 12(1), 45\u0026ndash;58 (2024)\u003c/li\u003e\n \u003cli\u003eTechConfronts: How Yandex search works\u0026mdash;Crawling, indexing and ranking explained. https://www.geekscodes.com/2025/01/how-yandex-search-works-crawling.html (2025)\u003c/li\u003e\n \u003cli\u003eOpen Archives Initiative: Protocol for Metadata Harvesting (OAI-PMH). https://www.openarchives.org/pmh/ (n.d.)\u003c/li\u003e\n \u003cli\u003eSingh, R.: DSpace: An open-source digital repository system for academic institutions. Journal of Advancements in Library Sciences. 5(2), 45\u0026ndash;52 (2018)\u003c/li\u003e\n \u003cli\u003eMuttis, T., Kitchen, J.: Enhancing repository visibility in Southern Africa: Metadata strategies and regional OA integration. African Journal of Library, Archives and Information Science. 27(2), 145\u0026ndash;158 (2017)\u003c/li\u003e\n \u003cli\u003ede Mutiis, A., Kitchen, S.: African digital research repositories: Survey report. International African Institute, London (2016). https://www.internationalafricaninstitute.org/repositories\u003c/li\u003e\n \u003cli\u003eYule, W., Nengomasha, C.T.: Challenges in researcher participation in institutional repositories: A Namibian case study. Journal of Information and Knowledge Management. 16(2), 112\u0026ndash;124 (2017)\u003c/li\u003e\n \u003cli\u003eYule, W., Henock, M.: Researcher engagement with open repositories in Southern Africa: Barriers and enablers. African Journal of Library, Archives and Information Science. 29(1), 33\u0026ndash;47 (2019)\u003c/li\u003e\n \u003cli\u003eAbrizah, A., Noorhidawati, A., Kiran, K.: Global visibility of Asian universities\u0026apos; Open Access institutional repositories. \u003cem\u003eMalays. J. Libr. Inf. Sci.\u003c/em\u003e 15, 53\u0026ndash;73 (2010)\u003c/li\u003e\n \u003cli\u003eAdam, U.A., Kaur, K.: Institutional repositories in Africa: Regaining direction. \u003cem\u003eInf. Dev.\u003c/em\u003e 38, 166\u0026ndash;178 (2022). https://doi.org/10.1177/02666669211015429\u003c/li\u003e\n \u003cli\u003eAdam, U.A., Kaur, K.: Empirical validation of IR sustainability model: Leveraging on a PLS-SEM approach. \u003cem\u003eDigit. Libr. Perspect.\u003c/em\u003e 39, 74\u0026ndash;96 (2023). https://doi.org/10.1108/DLP-02-2022-0014\u003c/li\u003e\n \u003cli\u003eBawack, R., Nkolo, P.: Open access movement: Reception and acceptance by academic libraries in developing countries. \u003cem\u003eLibr. Philos. Pract. (E-journal)\u003c/em\u003e 2023, (2018). http://digitalcommons.unl.edu/libphilprac/2023\u003c/li\u003e\n \u003cli\u003eChiware, E.R., Mathe, Z.: Academic libraries\u0026apos; role in research data management services: A South African perspective. \u003cem\u003eS. Afr. J. Libr. Inf. Sci.\u003c/em\u003e 81, 1\u0026ndash;10 (2015)\u003c/li\u003e\n \u003cli\u003eMwalubanda, J.: The development of institutional repositories in East African countries: A comparative analysis of Tanzania, Kenya, and Uganda. \u003cem\u003eIASSIST Q.\u003c/em\u003e 45(3\u0026ndash;4) (2021). https://doi.org/10.29173/iq1012\u003c/li\u003e\n \u003cli\u003ePinfield, S., Salter, J., Bath, P.A., Hubbard, B., Millington, P., Anders, J.H.S., Hussain, A.: Open-access repositories worldwide, 2005\u0026ndash;2012: Past growth, current characteristics, and future possibilities. \u003cem\u003eJ. Assoc. Inf. Sci. Technol.\u003c/em\u003e 65, 2404\u0026ndash;2421 (2014)\u003c/li\u003e\n \u003cli\u003eSingh, R.: Dspace. Univ. Lucknow (2018). https://www.lkouniv.ac.in/site/writereaddata/siteContent/202004050627539144rakhi_singh_DSpace.pdf\u003c/li\u003e\n \u003cli\u003eVelmurugan, C., Thavamani, K.: DSpace open-source software for academic libraries in the electronic era. (2013). https://www.researchgate.net/publication/291074511\u003c/li\u003e\n \u003cli\u003eWilson, K., Kiuna, A., Lamptey, R., Veldsman, S., Montgomery, L., Neylon, C., Hosking, R., Huang, C., Ozaygen, A.: Open access and research dissemination in Africa. In: \u003cem\u003eProc. 24th Int. Conf. Electron. Publ. (ELPUB 2020)\u003c/em\u003e. https://doi.org/10.4000/proceedings.elpub.2020.28\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Charts","content":"\u003cp\u003eCharts are available in the Supplementary Files section.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"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":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Global visibility, University of Namibia, Digital institutional repository, Open access, Search engines, Metadata","lastPublishedDoi":"10.21203/rs.3.rs-8635825/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8635825/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study explores the intersection of search engine optimisation (SEO) and repository as open access (OA) mandates gain prominence, academic institutions are increasingly called upon to enhance the visibility and accessibility of their scholarly outputs. This is largely facilitated through digital repositories and related OA initiatives, which serve as critical infrastructures for global knowledge dissemination. Openly available research enhances discoverability, fosters knowledge equity, and contributes meaningfully to national and regional development goals.\u003c/p\u003e \u003cp\u003eThis study investigates the \u003cem\u003eglobal visibility\u003c/em\u003e of the University of Namibia's (UNAM) digital institutional repositories. A sample of fifty (50) digital resources from the UNAM Library's repositories was randomly selected and assessed through search queries across five widely used search engines: Google, Yahoo, Baidu, Yandex, and Bing. Search terms included subject-specific keywords and varied combinations of titles and descriptors. The findings reveal that Google significantly outperforms the other search engines in indexing and retrieving UNAM\u0026rsquo;s repository content, whereas visibility on the remaining platforms was negligible or non-existent.\u003c/p\u003e \u003cp\u003eThe study underscores the need for enhanced search engine optimization (SEO), improved metadata structuring, and strategic repository management to ensure broader access and visibility of African research outputs on the digital global landscape.\u003c/p\u003e","manuscriptTitle":"Global Visibility of the University of Namibia’s Digital Repositories: A Critical Analysis of Discoverability Through Generic Search Engines","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-21 13:48:37","doi":"10.21203/rs.3.rs-8635825/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"3a928f29-f877-44a9-b2bf-bd0f6989b7ad","owner":[],"postedDate":"January 21st, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":61341849,"name":"Library Science"}],"tags":[],"updatedAt":"2026-01-21T13:48:37+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-21 13:48:37","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8635825","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8635825","identity":"rs-8635825","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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