A Framework for AI-Driven Data Governance in Academic Libraries
Abstract
Academic libraries are central to knowledge creation and dissemination in higher education. However, persistent challenges in service delivery continue to affect user satisfaction. This study examines how data governance and artificial intelligence (AI) can enhance the quality of library services in higher education institutions. Using a narrative literature review approach grounded in data management and service quality theories, the study conducted a bibliometric analysis of peer-reviewed publications from 2015 to 2024 retrieved from the Dimensions database. Findings reveal that implementing an integrated data governance framework supported by AI improves service efficiency, decision-making, and user experience. Nonetheless, varying scholarly views persist regarding the operational role of data governance in AI-driven systems within academic libraries. The study concludes that a cohesive framework integrating data governance and AI is vital for optimizing service quality. It recommends further investigation into data preprocessing and validation to advance library performance and contribute to the achievement of Sustainable Development Goal 4.
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DOI: https://doi.org/10.17509/edulib.v15i2.87417
DOI (PDF): https://doi.org/10.17509/edulib.v15i2.87417.g34547
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