TY - JOUR
T1 - Introduction - FAIR data, systems and analysis
AU - Groth, Paul
AU - Dumontier, Michel
N1 - Publisher Copyright:
© 2020 - IOS Press and the authors.
PY - 2020/6/12
Y1 - 2020/6/12
N2 - The FAIR principles outline key attributes to make digital resources more Findable, Accessible, Interoperable, and Reusable. Globally endorsed and widely adopted, there is now a pressing need to enable the establishment of an Internet of FAIR Data and Services, to demonstrate how these can be used to generate new insights, and to assess the overall value for FAIR across different sectors. Realizing the value of the FAIR principles will require a combination of scientific, technical, social, legal, and ethical advances for the production, sharing, discovery, assessment, and reuse of data. This special issue highlights research and software that is making FAIR data and services a reality.
AB - The FAIR principles outline key attributes to make digital resources more Findable, Accessible, Interoperable, and Reusable. Globally endorsed and widely adopted, there is now a pressing need to enable the establishment of an Internet of FAIR Data and Services, to demonstrate how these can be used to generate new insights, and to assess the overall value for FAIR across different sectors. Realizing the value of the FAIR principles will require a combination of scientific, technical, social, legal, and ethical advances for the production, sharing, discovery, assessment, and reuse of data. This special issue highlights research and software that is making FAIR data and services a reality.
UR - http://www.scopus.com/inward/record.url?scp=85176744477&partnerID=8YFLogxK
U2 - 10.3233/DS-200029
DO - 10.3233/DS-200029
M3 - Artículo de revisión
AN - SCOPUS:85176744477
SN - 2451-8484
VL - 3
SP - 1
EP - 2
JO - Data Science
JF - Data Science
IS - 1
ER -