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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. Klenk ,
Melissa 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
November 2019
November 2019
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Abstract
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.