A Generic Workflow for the Data FAIRification Process

• Published in: Data intelligence Vol. 2; no. 1-2; pp. 56 - 65
• Main Authors: Jacobsen, Annika, Kaliyaperumal, Rajaram, da Silva Santos, Luiz Olavo Bonino, Mons, Barend, Schultes, Erik, Roos, Marco, Thompson, Mark
• Format: Journal Article
• Language: English
• Published: One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 01.01.2020; MIT Press Journals, The
• Subjects: FAIR data; FAIR data stewardship; FAIR dissemination; FAIRification workflow; Hands-on FAIRification; Metadata; Principles; Workflow
• ISSN: 2641-435X; 2641-435X
• DOI: 10.1162/dint_a_00028

The FAIR guiding principles aim to enhance the Findability, Accessibility, Interoperability and Reusability of digital resources such as data, for both humans and machines. The process of making data FAIR (“FAIRification”) can be described in multiple steps. In this paper, we describe a generic step...