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10 Things for Curating Reproducible and FAIR Research

Arguillas, Florio; Christian, Thu-Mai; Gooch, Mandy; Honeyman, Tom; Peer, Limor; CURE-FAIR WG

Clary, Erin; Erdmann, Christopher; Van Gulick, Ana; Katz, Daniel S; Koziar, Katherine E; Marsolek, Wanda; McQuilton, Peter; Zhang, Qian

This document, "10 Things for Curating Reproducible and FAIR Research," describes the key issues of curating reproducible and FAIR research (CURE-FAIR). It lists standards-based guidelines for ten practices, focusing primarily on research compendia produced by quantitative data-driven social science.

The "10 CURE-FAIR Things" are intended primarily for data curators and information professionals who are charged with publication and archival of FAIR and computationally reproducible research. Often the first re-users of the research compendium, they have the opportunity to verify that a computation can be executed and that it can reproduce pre-specified results. Secondarily, the "10 CURE-FAIR Things" will be of interest to researchers, publishers, editors, reviewers, and others who have a stake in creating, using, sharing, publishing, or preserving reproducible research.

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