| Literature DB >> 31677972 |
Daniel J B Clarke1, Lily Wang1, Alex Jones2, Megan L Wojciechowicz1, Denis Torre1, Kathleen M Jagodnik1, Sherry L Jenkins1, Peter McQuilton3, Zachary Flamholz1, Moshe C Silverstein1, Brian M Schilder1, Kimberly Robasky4, Claris Castillo4, Ray Idaszak4, Stanley C Ahalt4, Jason Williams5, Stephan Schurer6, Daniel J Cooper6, Ricardo de Miranda Azevedo7, Juergen A Klenk2, Melissa A Haendel8, Jared Nedzel9, Paul Avillach10, Mary E Shimoyama11, Rayna M Harris12, Meredith Gamble13, Rudy Poten13, Amanda L Charbonneau12, Jennie Larkin14, C Titus Brown12, Vivien R Bonazzi15, Michel J Dumontier7, Susanna-Assunta Sansone3, Avi Ma'ayan16.
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.Entities:
Mesh：
Year: 2019 PMID： 31677972 PMCID： PMC7316196 DOI： 10.1016/j.cels.2019.09.011
Source DB: PubMed Journal: Cell Syst ISSN： 2405-4712 Impact factor: 10.304