Curation for FAIR and reproducible research is the process of reviewing and enhancing a research compendium for long-term reuse. Given the replication crisis and requirements of most journals that data and code be submitted upon acceptance or made available upon request as a condition for publication, it is imperative that researchers provide high-quality reproduction materials (i.e., data, code, documentation) that underlie their research.
This webinar presents "10 Things for Curating Reproducible and FAIR Research”, which are guidelines designed for curators and researchers interested in publishing and archiving reproducible research output. It will focus on the following:
Key issues in curating reproducible and FAIR (CURE-FAIR) research
Practical strategies that ensure publication-ready and independently understandable packages of reproducible research materials
Best practices in archiving and publishing computationally reproducible studies that rely on quantitative data, primarily in the social sciences