FAIR Principles for data and AI models in high energy physics research and education

« In recent years, digital object management practices to support findability, accessibility, interoperability, and reusability (FAIR) have begun to be adopted across a number of data-intensive scientific disciplines. These digital objects include datasets, AI models, software, notebooks, workflows, documentation, etc. With the collective dataset at the Large Hadron Collider scheduled to reach the zettabyte scale by the end of 2032, the experimental particle physics community is looking at unprecedented data management challenges. (…) »

source > arxiv.org, Avik Roy, arXiv:2211.15021v1, https://doi.org/10.48550/arXiv.2211.15021