Mapping Research on DDC and Koha: A Bibliometric Assessment of Classification and Automation in Academic Libraries

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This bibliometric study analyzed 238 publications from 2000-2024 on DDC and Koha, revealing research growth and how these classification and automation tools complement each other in academic libraries.

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This bibliometric study maps research trends in Dewey Decimal Classification (DDC) and the Koha Integrated Library System by analyzing 238 publications from 2000 to 2024, focusing on author productivity, journal dissemination patterns, keyword co-occurrence, geographic contributions, thematic clustering, and citation impact. The study reports overall growth in scholarly output, with Koha-related research showing a sharper upward trend associated with global digital transformation initiatives. It concludes that DDC remains central to knowledge organization and metadata structuring, while Koha represents open-source automation linked to accessibility, interoperability, and user engagement, while noting the work is a preprint that has not been peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract This bibliometric study examines two pivotal domains in modern library science, Dewey Decimal Classification (DDC) and the Koha Integrated Library System, to map research trajectories and understand how academic libraries balance traditional classification practices with emerging automation technologies. Analysing 238 publications from 2000 to 2024, the study identifies significant growth in scholarly output, with Koha-related research showing a sharper upward trend aligned with global digital transformation initiatives. Author productivity, journal dissemination patterns, keyword co-occurrence, geographic contributions, thematic clustering, and citation impact collectively highlight the complementary roles of DDC and Koha in shaping contemporary library operations. While DDC remains central to knowledge organization and metadata structuring, Koha represents the forefront of open-source automation, enhancing accessibility, interoperability, and user engagement. The findings confirm a dynamic research landscape where classification and automation evolve together, offering strategic insights for librarians, researchers, and policymakers committed to strengthening academic library services through integrated technological and organizational frameworks.
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Mapping Research on DDC and Koha: A Bibliometric Assessment of Classification and Automation in Academic Libraries | 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 Mapping Research on DDC and Koha: A Bibliometric Assessment of Classification and Automation in Academic Libraries Debdas Mondal This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8563602/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This bibliometric study examines two pivotal domains in modern library science, Dewey Decimal Classification (DDC) and the Koha Integrated Library System, to map research trajectories and understand how academic libraries balance traditional classification practices with emerging automation technologies. Analysing 238 publications from 2000 to 2024, the study identifies significant growth in scholarly output, with Koha-related research showing a sharper upward trend aligned with global digital transformation initiatives. Author productivity, journal dissemination patterns, keyword co-occurrence, geographic contributions, thematic clustering, and citation impact collectively highlight the complementary roles of DDC and Koha in shaping contemporary library operations. While DDC remains central to knowledge organization and metadata structuring, Koha represents the forefront of open-source automation, enhancing accessibility, interoperability, and user engagement. The findings confirm a dynamic research landscape where classification and automation evolve together, offering strategic insights for librarians, researchers, and policymakers committed to strengthening academic library services through integrated technological and organizational frameworks. DDC Koha Library Automation Bibliometric Study Academic Libraries Classification Systems Open-source ILS Metadata Research Trends Full Text Additional Declarations No competing interests reported. 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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