Enabling FAIR for AI: Infrastructure for Transparency and Reproducibility of Research Software

This project aims to make research data and software easier to reuse and reproduce, especially in AI. Currently, shared software often lacks the information needed to replicate results. The project will improve transparency and long-term usability by enhancing Djehuty, the repository platform used by 4TU.ResearchData and Nikhef. This will benefit researchers, data professionals and policymakers by providing better tools and guidelines for sharing and using software responsibly, particularly software associated with AI models. The project will also align with ongoing efforts to improve research practices and meet new regulations, enabling AI research to be more open, FAIR, ethical and reproducible.