Work Plans: A tool for suggesting implementation strategies to improve the FAIRness of data repositories
Authors/Creators
- 1. Knowledge Motifs LLC
- 2. Kairoi
- 3. GO FAIR US
- 4. SciLifeLab
-
5.
San Diego Supercomputer Center
Description
Improving the findability, accessibility, interoperability and reusability (or “FAIRness”) of digital resources has become increasingly important since the publication of the “FAIR Principles” in 2016. As an advocate of the FAIR Principles, GO FAIR US has developed a methodology for assessing the FAIRness of repositories. By involvement in a myriad of data landscaping projects across health research and geosciences, GO FAIR US’s analytical approach has been tested, improved, and demonstrated to be a valuable practice. Crucially, GO FAIR US’s approach focuses on the need to gather feedback from the repositories and stakeholders involved in said repositories. In this paper, we describe a way to organize the rich data collected and presented in clear work plans for implementing changes recommended through the FAIRness assessment process.
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20260123_Work-Plans.pdf
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Additional details
References
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