FAIR GPT助科研人员自动提升数据合规性。
FAIR GPT: A virtual consultant for research data management in ChatGPT
- 基于外部API验证数据可发现性，减少幻觉
- 自动推荐元数据、仓库与许可证，支持文档生成
- 适合需要符合FAIR原则的研究团队使用
FAIR GPT 是首个在 ChatGPT 中部署的虚拟顾问，旨在帮助研究人员和机构使其数据与元数据符合 FAIR（可发现、可访问、可互操作、可重用）原则。它提供元数据优化、数据集组织及存储库选择建议。为保障准确性，FAIR GPT 调用外部 API 检测数据集的 FAIR 程度、获取受控词汇并推荐合适存储库，有效降低幻觉风险，提升判断精度。同时支持生成数据管理计划、软件管理计划、README 文件与代码簿，并协助选择合适的许可证。本文介绍其功能、应用场景及局限性。
原文摘要 · Abstract (English)
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.
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