DATA-DRIVEN COLLECTION DEVELOPMENT IN LIBRARIES: A CASE STUDY OF FEDERAL COLLEGE OF EDUCATION, YOLA, AND COLLEGE OF EDUCATION, HONG LIBRARIES. ADAMAWA STATE
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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Date
2025
Authors
NEHEMIAH HELDA, Florence
SA’AD, Sulaiman
IBRAHIM, Sa’ad
Journal Title
Journal ISSN
Volume Title
Publisher
Library and Information Management Forum
Abstract
This 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.
Description
Library and Information Management Forum