The DCN developed a standardized set of C-U-R-A-T-E steps and checklists to ensure that all datasets submitted to the Network receive consistent treatment. The CURATE Checklists (pdf) were drafted in the planning phase of the project (read the 2018 post) and further enhanced by members of the DCN at the First Annual All Hands Meeting in July, 2018. These checklists are works in progress.
Check files and read documentation (risk mitigation, file inventory, appraisal/selection) – checklist
Understand the data (or try to), if not… (open files, run code/environment, QA/QC issues, readmes) – checklist
Request missing information or changes (tracking provenance of any changes and why) – checklist
Augment metadata for findability (DOIs, metadata standards, discoverability) – checklist
Transform file formats for reuse (data preservation, conversion tools, data visualization) – checklist
Evaluate for FAIRness (transparent usage licenses, responsibility standards, metrics for tracking use)– checklist
Document all curation activities throughout the process – checklist
Created by archivists and data librarians who attended the 2018-2020 Specialized Data Curation Workshops presented by the Data Curation Network (IMLS RE-85-18-0040-18). Data curation primers are interactive, living documents that detail a specific subject, disciplinary area or curation task and that can be used as a reference to curate research data. The links below are to the editable copies in GitHub when available (see archived pdf versions available here).