CURATE Checklists

The draft DCN CURATE Checklists (beta) were enhanced by members of the DCN during a hands-on exercise applying the CURATE steps to an actual dataset of one of four types (tabular, survey, code, geospatial) at the First Annual All Hands Meeting in July, 2018. Different data types may require different curation workflows, and these enhanced CURATE Checklists reflect this. These checklists are works in progress.

  • Check files and read documentation (risk mitigation, file inventory, appraisal/selection)
  • Understand the data (or try to), if not… (run files/environment, QA/QC issues, readme files)
    • Primers created by DCN members to understand data types
  • Request missing information or changes (tracking provenance of any changes and why)
  • Augment metadata for findability (DOIs, metadata standards, discoverability)
  • Transform file formats for reuse (data preservation, conversion tools, data viz)
  • Evaluate for FAIRness (licenses, responsibility standards, metrics for tracking use)

Tools created by DCN Members

Survey Tool –How mature is your data curation service? Download our survey (pdf)! The survey was developed as part of the Data Curation Spec Kit: (ARL, 2017).

Definitions of Data Curation Activities (DCN, 2016) – nearly 50 terms defined. See also the word doc version that used the definitions in a card rating exercise with faculty and librarians.

Data Curation Software Tools List (DCN, 2018) A crowdsourced list of tools helpful in the practice of data curation. This list was developed by members of the DCN during our First Annual All Hands Meeting in July, 2018, and this list is intended to be a living resource.

Dryad Guide to Opening Files A wiki page documenting various file types and how to work with them. This page was created by the Dryad Digital Repository.

Ebook: Curating Research Data: A handbook of current practice (ACRL Press, 2017). A free ebook detailing the sequential actions that you might take to curate a data set from receiving the data (Step 1) to eventual reuse (Step 8). Notably, this handbook includes 35 case studies from practitioners based at an international array of general, disciplinary, and institutional data repositories.

Software Curation: Johns Hopkins Libraries Data Management Services Resources for Research Software include: A Toolbox for Curating and Archiving Research Software for Data Management Specialists and online training modules on Planning for Software Reproducibility and Reuse.