FAIRshake: Toolkit to Assess the FAIRness of Biomedical Digital Objects¶
Authors: Daniel Clarke, Lily Wang, Alex Jones, Brian Schilder, Denis Torre, Megan Wojciechowicz, Sherry Jenkins, Juergen Klenk, Kathleen Jagodnik, Moshe Silverstein, Michel Dumontier, Susanna-Assunta Sansone, Peter McQuilton, Alejandra Gonzalez-Beltran, Philippe Rocca-Serra, Milo Thurston, Massimiliano Izzo, Kimberly Robasky, Melissa Haendel, Ray Idaszak, Stan Ahalt, Mary Shimoyama, Karen Yook, Jared Nedzel, Charlotte Whicher, Ian Broadhead, Avi Ma’ayan (Teams Nitrogen, Helium, Xenon, Data Stewards)
Contact point: Avi Ma'ayan firstname.lastname@example.org
Tags: KC1, FAIR, Metadata, FAIR rubrics, FAIR Metrics, FAIR Compliance, Community Standards, Interoperability
Making digital research objects more findable, accessible, interoperable and reusable (FAIR) is critical for realizing the opportunity of accelerated progress in research through data science. To begin addressing this challenge, the FAIR guiding principles were established. However, software to systematically assess, store and display the FAIRness of biomedical digital objects is currently mostly not available. FAIRshake is a software toolkit that enables the assessment of compliance of biomedical digital research objects with the FAIR guiding principles. FAIRshake functions as a repository to store and serve FAIR assessments, metrics and rubrics. In order to visually communicate FAIRness level, a grid of colored squares, called the FAIR insignia, was developed. The FAIRness insignia identifies areas of strength and weakness in the FAIRness level of digital objects, guiding digital object producers on how to improve the FAIRness of their products. The FAIRshake toolkit consists of the FAIRshake website, through which users can start projects, submit assessments, create metrics and rubrics, and obtain insignias; the FAIRshake Google Chrome browser extension and the FAIRshake Bookmarklet which allow users to view insignias and submit evaluations while visiting digital object web-sites; and the FAIRshake Smart API which enables direct programmatic access to all the functions of the FAIRshake toolkit, including automated FAIR assessments. FAIRshake was already used to manually assess the FAIRness of over 400 bioinformatics tools, over 140 digital objects produced by AGR, and all the digital objects on the GTEx portal. Automated FAIR assessments have been performed on the digital objects in the Repositive and CommonsShare full stacks.