FAIR GPT: A virtual consultant for research data management in ChatGPT
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Abstract (arXiv)
FAIR GPT is a first virtual consultant in ChatGPT designed to help researchers and organizations make their data and metadata compliant with the FAIR (Findable, Accessible, Interoperable, Reusable) principles. It provides guidance on metadata improvement, dataset organization, and repository selection. To ensure accuracy, FAIR GPT uses external APIs to assess dataset FAIRness, retrieve controlled vocabularies, and recommend repositories, minimizing hallucination and improving precision. It also assists in creating documentation (data and software management plans, README files, and codebooks), and selecting proper licenses. This paper describes its features, applications, and limitations.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 0 of its 10 references that are in the map. First posted on arXiv 20 Sep 2024.
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