CURE-FAIR WG Community Meeting

Slides: https://bit.ly/3ksjk6v
Collaborative notes: https://osf.io/5yb7t/
Session 1 Zoom recording: https://bit.ly/2EalrN4
Session 2 Zoom recording: https://bit.ly/2Rwrqid 

The CURE-FAIR WG is inviting members and interested groups to a community meeting to learn more about our group and how to engage with our goals.
 
CURE-FAIR is focused on the curation practices that support computational reproducibility and FAIR principles. As our case statement explains, by curation we refer to activities around maintaining, preserving and adding value to digital research output throughout its lifecycle. By computational reproducibility, we mean the ability to use data and code to repeat the analysis and arrive at the same results (National Academies of Sciences, Engineering, and Medicine, 2019). The goal of the CURE-FAIR WG is to establish guidelines for curating for reproducible data and code and to improve FAIR-ness and long-term usability of “reproducible file bundles” across domains.