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. 2019 Nov 27;9(5):417-421.
doi: 10.1016/j.cels.2019.09.011. Epub 2019 Oct 30.

FAIRshake: Toolkit to Evaluate the FAIRness of Research Digital Resources

Daniel J B Clarke  1 , Lily Wang  1 , Alex Jones  2 , Megan L Wojciechowicz  1 , Denis Torre  1 , Kathleen M Jagodnik  1 , Sherry L Jenkins  1 , Peter McQuilton  3 , Zachary Flamholz  1 , Moshe C Silverstein  1 , Brian M Schilder  1 , Kimberly Robasky  4 , Claris Castillo  4 , Ray Idaszak  4 , Stanley C Ahalt  4 , Jason Williams  5 , Stephan Schurer  6 , Daniel J Cooper  6 , Ricardo de Miranda Azevedo  7 , Juergen A Klenk  2 , Melissa A Haendel  8 , Jared Nedzel  9 , Paul Avillach  10 , Mary E Shimoyama  11 , Rayna M Harris  12 , Meredith Gamble  13 , Rudy Poten  13 , Amanda L Charbonneau  12 , Jennie Larkin  14 , C Titus Brown  12 , Vivien R Bonazzi  15 , Michel J Dumontier  7 , Susanna-Assunta Sansone  3 , Avi Ma'ayan  16
Affiliations

FAIRshake: Toolkit to Evaluate the FAIRness of Research Digital Resources

Daniel J B Clarke et al. Cell Syst. .

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.

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Figures

Figure 1.
Figure 1.. A Diagram Illustrating FAIRshake’s Workflow
Digital resources from various projects are paired with FAIR metrics and rubrics to perform assessments that are visualized with the FAIR insignia.
Figure 2.
Figure 2.. FAIR Assessment of AGR Tools
Distribution of average FAIR scores for 132 AGR tools assessed with an initial set of 9 FAIR metrics.
See this image and copyright information in PMC

Comment in

  • FAIR your data.
    Tang L. Tang L. Nat Methods. 2020 Feb;17(2):127. doi: 10.1038/s41592-020-0742-y. Nat Methods. 2020. PMID: 32020091 No abstract available.

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