TY - JOUR
T1 - Unique, Persistent, Resolvable: Identifiers as the foundation of FAIR
AU - Juty, Nick
AU - Wimalaratne, Sarala M.
AU - Soiland-Reyes, Stian
AU - Kunze, John
AU - Goble, Carole Anne
AU - Clark, Tim
N1 - Accepted for Data Intelligence special issue: FAIR best practices 2019
PY - 2019/11/1
Y1 - 2019/11/1
N2 - 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.
AB - 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.
U2 - 10.5281/zenodo.3267434
DO - 10.5281/zenodo.3267434
M3 - Article
SN - 2641-435X
VL - 2
SP - 30
EP - 39
JO - Data Intelligence
JF - Data Intelligence
IS - 1
ER -