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Modeling community standards for metadata as templates makes data FAIR

Computer Science

Modeling community standards for metadata as templates makes data FAIR

M. A. Musen, M. J. O'connor, et al.

This paper explores a template-based approach to determine the FAIRness of datasets, emphasizing rich metadata and community standards. Conducted by Mark A. Musen, Martin J. O'Connor, Erik Schultes, Marcos Martínez-Romero, Josef Hardi, and John Graybeal, it showcases how CEDAR and FAIRware Workbenches can transform data management and sharing.

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