Published April 15, 2025 | Version 1.02
Publication Open

Repository Crisis Scorecards

  • 1. ROR icon NSF National Center for Atmospheric Research
  • 2. ROR icon Massachusetts Institute of Technology
  • 3. ROR icon World Data System
  • 4. ROR icon Utrecht University

Description

The Repository Crisis Scorecards (RCS) are meant to measure how resilient a repository might be in its normal state and during certain crises. This includes a measure of how well a repository might weather an example crisis, how easy it might be to restore metadata, and how much societal impact a missing repository would have. The scorecards are based off of the model data preservation rubric developed by Schuster et al, 2023.

There are three parts to the Repository Crisis Scorecards, a fact finding pre-worksheet to set the scene and two scorecards. The Repository Resilience Scorecard (RRS) is organized around the idea of whether a repository can survive a crisis and fulfill its mission. The Data Impact and Recovery Scorecard (DIRS) covers the ideas of dataset completeness and third party impact, specifically whether another organization is able to make sense of deposits and continue the mission of the impacted repository.

Technical info

Changelog

Version 1.02

  • Fixed lots of spelling errors
  • Updated instructions in Repository Crisis Scorecards Instructions
  • Fixed links to Repository Crisis Scorecards Instructions in the RCS
  • Changed DOI to always point to most recent version on Zenodo
  • Fixed conditional color formatting for some cells in RRS
  • Fixed spelling errors
  • Tidied formulas
  • Added "Service Level Agreements deadlines" to RRS cell L26
  • Revised DIRS row 13 "Data and Metadata: FAIR Compliance"
  • Revised DIRS row 14 "Data and Metadata: CARE Compliance or Ethical Usage Considerations"
  • Revised DIRS row 19 "Impact: Third Party Application Support Through Transition"
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Version 1.01

  • Fixed conditional color formatting for some cells in RRS

Version 1.0

  • Initial release

Files

Repository Crisis Scorecards Instructions.pdf

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Additional details

References

  • Schuster, D. C., Mayernik, M. S., Mullendore, G. L., and Marquis, J. W. (2023). What about Model Data? Best Practices for Preservation and Replicability. Bull. Amer. Meteor. Soc., 104, E2053–E2064, https://doi.org/10.1175/BAMS-D-22-0252.1