DATA-DRIVEN COLLECTION DEVELOPMENT IN LIBRARIES: A CASE STUDY OF FEDERAL COLLEGE OF EDUCATION, YOLA, AND COLLEGE OF EDUCATION, HONG LIBRARIES. ADAMAWA STATE

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dc.contributor.authorNEHEMIAH HELDA, Florence
dc.contributor.authorSA’AD, Sulaiman
dc.contributor.authorIBRAHIM, Sa’ad
dc.date.accessioned2026-02-23T09:54:43Z
dc.date.available2026-02-23T09:54:43Z
dc.date.issued2025
dc.descriptionLibrary and Information Management Forum
dc.description.abstractThis study explores the implementation of data-driven collection development (DDCD) practices in academic libraries in Nigeria, specifically at the Federal College of Education, Yola, and the College of Education, Hong. However, challenges persist, including the underutilization of borrowing statistics and mixed confidence in data analysis skills. In the contemporary landscape of library and information science, data-driven collection development (DDCD) represents a significant advancement in resource management. By utilizing both quantitative and qualitative data, libraries can align their collections with user needs, a necessity given the exponential growth of information resources and evolving user expectations. Research Questions include: To what extent are data-driven collection development practices applied in the libraries? What challenges affect the implementation of data-driven collection development in the selected libraries? This study employs a descriptive survey methodology, utilizing questionnaires to gather insights from library staff regarding the application and challenges of DDCD practices. The findings reveal a significant reliance on data analytics tools, with 71.21% of respondents employing them frequently, while 75.75% analyze user feedback. In conclusion, by addressing these challenges, libraries can foster more effective, responsive collections that meet the evolving demands of their communities. Recommendations include enhancing training programs, improving borrowing statistics utilization, strengthening predictive analytics integration, upgrading technological infrastructure, and diversifying collections based on user feedback.
dc.identifier.issn1117-7918
dc.identifier.urihttps://kubanni.abu.edu.ng/123456789/13194
dc.language.isoen
dc.publisherLibrary and Information Management Forum
dc.relation.ispartofseriesVol. 27; No. 1 & 2. 2025
dc.titleDATA-DRIVEN COLLECTION DEVELOPMENT IN LIBRARIES: A CASE STUDY OF FEDERAL COLLEGE OF EDUCATION, YOLA, AND COLLEGE OF EDUCATION, HONG LIBRARIES. ADAMAWA STATE
dc.typeArticle
dspace.entity.type
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