AI Tools Supporting Open Access and Digital Repositories
This research paper delves into the intersection of AI, open access, and digital repositories, providing a comprehensive analysis of their synergies, challenges, and opportunities. It explores case studies of successful AI applications, identifies gaps in current approaches, and discusses best practices for integrating AI tools into open access infrastructures. By emphasizing collaborative and inclusive frameworks, this study aims to offer actionable recommendations for leveraging AI to advance the goals of open access while addressing ethical and operational challenges. Ultimately, the research highlights how AI can serve as a catalyst for innovation and inclusivity in the evolving digital research ecosystem.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-21
- DOI
- https://doi.org/10.5281/zenodo.15795490
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00