FAIR GPT: A virtual consultant for research data management in ChatGPT
This addresses the need for automated FAIR compliance assistance for researchers and organizations, but it is incremental as it builds on existing ChatGPT capabilities.
The paper tackles the problem of helping researchers and organizations achieve FAIR compliance for data and metadata by introducing FAIR GPT, a virtual consultant in ChatGPT that provides guidance on metadata improvement, dataset organization, and repository selection, resulting in minimized hallucination and improved precision through external APIs.
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.