An analysis of AI-powered digital repositories in University of Uyo Library, Akwa Ibom State
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- NGN 5000
Background of the study
Digital repositories preserve and disseminate scholarly outputs, and AI integration—through automated metadata generation, similarity detection, and predictive archiving—enhances repository quality and discoverability (Borgman, 2023). Leading institutions employ AI to streamline ingest workflows and recommend related works to users (Johnson, 2024). At University of Uyo Library, the institutional repository recently adopted AI tools for auto‑tagging theses and detecting duplicate content, yet the impact on metadata accuracy, submission throughput, and user engagement has not been assessed. A comprehensive analysis will reveal strengths and gaps in the current system, guiding enhancements that ensure long‑term sustainability and alignment with open‑access mandates.
Statement of the problem
Despite AI enhancements, the University of Uyo’s digital repository experiences metadata inconsistencies and low deposit rates, suggesting suboptimal tool configuration or user awareness. However, no study has evaluated repository performance metrics post‑AI integration.
Objectives of the study
To assess metadata accuracy and submission efficiency in the AI‑powered repository.
To evaluate user engagement and discoverability of repository content.
To recommend system and policy adjustments for improved repository performance.
Research questions
How has AI‑driven metadata generation affected record quality?
What changes in submission throughput are attributable to AI tools?
How do users perceive repository discoverability and relevance?
Significance of the study
The analysis will inform repository managers and university leadership on optimizing AI configurations and outreach strategies to increase deposits, enhance metadata quality, and maximize the repository’s visibility and impact.
Scope and limitations of the study
This analysis is confined to the University of Uyo’s institutional repository. It excludes departmental archives and external digital collections.
Definitions of terms
Digital repository: An online archive for collecting, preserving, and disseminating digital content.
Auto‑tagging: AI process of assigning descriptive metadata to content.
Submission throughput: Number of items ingested into the repository over a given period.
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