Adoption of Big Data Analytics in Nigerian University Libraries: Perceptions, Competency, and Usage Among Librarians in Osun State

Abstract

Big Data Analytics (BDA) has the potential to transform academic library operations by enabling data-driven decisions, yet its adoption in Nigerian university libraries remains underexplored. This study investigates librarians’ awareness, perception, competency, and usage of BDA tools in selected universities in Osun State. The research aimed to assess the extent to which librarians are prepared to integrate BDA into library services. A mixed-methods approach was used, combining survey data from 36 librarians with interviews from three chief librarians across federal, state, and private universities. Data were analyzed using descriptive statistics and thematic content analysis. Results showed that while 78% of respondents had high awareness and 76% had a positive perception of BDA, actual usage was limited (only 8% reported very high use). Skill gaps and infrastructure deficiencies were identified as major barriers. The study concludes that despite strong awareness and favorable attitudes, BDA integration is hindered by institutional limitations. Enhancing infrastructure, targeted training, and national policy support are recommended to bridge the gap and unlock the benefits of BDA in academic libraries.