Unique, Persistent, Resolvable: Identifiers as the Foundation of FAIR-Reference-Cited by-同舟云学术

Unique, Persistent, Resolvable: Identifiers as the Foundation of FAIR

Published:2020-01 Issue:1-2 Volume:2 Page:30-39
ISSN:2641-435X
Container-title:Data Intelligence
language:en
Short-container-title:Data Intellegence

Author:

Juty Nick¹^ORCID,Wimalaratne Sarala M.²,Soiland-Reyes Stian¹,Kunze John³,Goble Carole A.¹,Clark Tim⁴

Affiliation:

1. Department of Computer Science, The University of Manchester, Oxford Road, Manchester M13 9PL, UK

2. European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, UK

3. California Digital Library, Oakland, California 94612-2901, USA

4. Data Science Institute, University of Virginia, Charlottesville, VA 22903-1738, USA

Abstract

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.

Publisher

MIT Press - Journals

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.mitpressjournals.org/doi/pdf/10.1162/dint_a_00025

Reference21 articles.

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5. Making Data and Workflows Findable for Machines

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