Applying the FAIR Principles to Computational Workflows

• DOI: 10.48550/arxiv.2410.03490
• Publication Date: 2024-10-04
• Authors: Sean Wilkinson; Meznah Aloqalaa; Khalid Belhajjame; Michael R. Crusoe; Bruno de Paula Ki...; Luiz Gadelha; Daniel Garijo; Ove Gustafsson; Nick Juty; Sehrish Kanwal; Farah Zaib Khan; Johannes Köster; Karsten Peters; Line Pouchard; Randy K. Rannow; Stian Soiland‐Reyes; Nicola Soranzo; Shoaib Sufi; Ziheng Sun; Baiba Vilne; Merridee A. Wouters; Denis Yuen; Carole Goble
• Keywords: Software Engineering (cs.SE); FOS: Computer and information sciences; Computer Science - Software Engineering; workflow; Science; Q; Computer Science - Digital Libraries; Digital Libraries (cs.DL); FAIR

Recent trends within computational and data sciences show an increasing recognition adoption of workflows as tools for productivity, reproducibility, democratized access to platforms processing know-how. As digital objects be shared, discovered, reused, benefit from the FAIR principles, which stand Findable, Accessible, Interoperable, Reusable. The Workflows Community Initiative's Working Group (WCI-FW), a global open community researchers developers working with across disciplines domains, has systematically addressed application both software principles workflows. We present our recommendations commentary that reflects discussions justifies choices adaptations. Like on they are based, these offered workflow users authors, management system developers, providers services guide rails fodder discussion. becoming more prevalent documented, automated instruments analysis, collection, AI-based predictions, simulations. we propose in this paper will maximize their value research assets facilitate by wider community.