FAIRshake: Toolkit to Evaluate the FAIRness of Research Digital Resources

Daniel J. B. Clarke, Lily Wang, Alex Jones, Megan L. Wojciechowicz, Denis Torre, Kathleen M. Jagodnik, Sherry L. Jenkins, Peter McQuilton, Zachary Flamholz, Moshe C. Silverstein, Brian M. Schilder, Kimberly Robasky, Claris Castillo, Ray Idaszak, Stanley C. Ahalt, Jason Williams, Stephan Schurer, Daniel J. Cooper, Ricardo de Miranda Azevedo, Juergen A. KlenkMelissa A. Haendel, Jared Nedzel, Paul Avillach, Mary E. Shimoyama, Rayna M. Harris, Meredith Gamble, Rudy Poten, Amanda L. Charbonneau, Jennie Larkin, C. Titus Brown, Vivien R. Bonazzi, Michel J. Dumontier, Susanna-Assunta Sansone, Avi Ma'ayan*

*Corresponding author for this work

Research output: Contribution to journalEditorialAcademicpeer-review

17 Citations (Web of Science)
56 Downloads (Pure)


As more digital resources are produced by the research community, it is becoming increasingly important to harmonize and organize them for synergistic utilization. The findable, accessible, interoperable, and reusable (FAIR) guiding principles have prompted many stakeholders to consider strategies for tackling this challenge. The FAIRshake toolkit was developed to enable the establishment of community-driven FAIR metrics and rubrics paired with manual and automated FAIR assessments. FAIR assessments are visualized as an insignia that can be embedded within digital-resources-hosting websites. Using FAIRshake, a variety of biomedical digital resources were manually and automatically evaluated for their level of FAIRness.

Original languageEnglish
Pages (from-to)417-421
Number of pages5
JournalCell Systems
Issue number5
Publication statusPublished - 27 Nov 2019

Cite this