10 Things for Curating Reproducible and FAIR ResearchComputational reproducibility requires a village. This document is primarily for data curators and information professionals who are charged with verifying that a computation can be executed and can reproduce prespecified results. Secondarily, it is for researchers, publishers, editors, reviewers, and others who have a stake in creating, using, sharing, publishing, or preserving reproducible research.
The 10 Things for Curating Reproducible and FAIR Research is the result of the collaborative efforts of members of the Research Data Alliance (RDA) CURE-FAIR Working Group. The original 10 Things document was accepted by RDA as an endorsed recommendation cited below:
Arguillas, F., Christian, T., Gooch, M., Honeyman, T., & Peer, L. (2022). 10 Things for Curating Reproducible and FAIR Research (Version 1.1). Research Data Alliance. https://doi.org/10.15497/RDA00074