Advancing Discovery Science with FAIR Data Stewardship: Findable, Accessible, Interoperable, Reusable
Year: 2018
Type: article
Abstract: This report summarizes a presentation by Dr. Michel Dumontier. It reviews innovative scientific research methods created by data science, and the need to develop infrastructure, methodologies, and user communities to advance data science. Stakeholders have proposed a set of principles to make digital resources findable, accessible, interoperable, and reusable—FAIR. FAIR principles provide guidelines, do not require specific technologies, and allow communities of stakeholders to define specific FAIR standards and develop metrics to quantify them. Libraries can be part of the new data ecosystem by providing education, data stewardship, and infrastructure.
Source: The Serials Librarian
Authors: Michel Dumontier, Kathryn Wesley
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2884588210