Unique, Persistent, Resolvable: Identifiers as the Foundation of FAIR
Author(s) -
Nick Juty,
Sarala Wimalaratne,
Stian SoilandReyes,
John Kunze,
Carole Goble,
Tim W. Clark
Publication year - 2019
Publication title -
data intelligence
Language(s) - English
Resource type - Journals
eISSN - 2096-7004
pISSN - 2641-435X
DOI - 10.1162/dint_a_00025
Subject(s) - orchestration , identifier , metadata , computer science , foundation (evidence) , reuse , set (abstract data type) , world wide web , data science , information retrieval , computer network , programming language , political science , engineering , art , musical , law , visual arts , waste management
The FAIR principles describe characteristics intended to support access to and reuse of digital artifacts in the scientific research ecosystem. Persistent, globally unique identifiers, resolvable on the Web, and associated with a set of additional descriptive metadata, are foundational to FAIR data. Here we describe some basic principles and exemplars for their design, use and orchestration with other system elements to achieve FAIRness for digital research objects.
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