FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy

Ravi, Nikil; Chaturvedi, Pranshu; Huerta, E. A.; Liu, Zhengchun; Chard, Ryan; Scourtas, Aristana; Schmidt, K. J.; Chard, Kyle; Blaiszik, Ben; Foster, Ian

doi:10.1038/s41597-022-01712-9

FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy

A concise and measurable set of FAIR (Findable, Accessible, Interoperable and Reusable) principles for scientific data is transforming the state-of-practice for data management and stewardship, supporting and enabling discovery and innovation. Learning from this initiative, and acknowledging the …