The Curating for Reproducibility Consortium was established to promote curation practices that ensure that research compendia and their component artifacts constitute a complete and reproducible scholarly record. Our goal is to establish standards, share practices, and promote the Data Quality Review framework for rigorous curation workflows that support computational reproducibility of published scientific findings.
Building on existing and evolving standards, CURE is dedicated to establishing and communicating the driving principles and criteria for proper curation for reproducibility.
Curating for reproducibility involves multiple tasks and several stakeholders. A primary goal of CURE is to map the vital elements of the workflow, and to share the best practices that have emerged within each organization.
CURE members believe that pre-publication data quality review is essential for the progression of science and preservation of knowledge.