TY - JOUR
T1 - Cloudy, increasingly FAIR; Revisiting the FAIR Data guiding principles for the European Open Science Cloud
AU - Mons, B.
AU - Neylon, C.
AU - Velterop, J.
AU - Dumontier, M.
AU - Da Silva Santos, L.O.B.
AU - Wilkinson, M.D.
PY - 2017
Y1 - 2017
N2 - The FAIR Data Principles propose that all scholarly output should be Findable, Accessible, Interoperable, and Reusable. As a set of guiding principles, expressing only the kinds of behaviours that researchers should expect from contemporary data resources, how the FAIR principles should manifest in reality was largely open to interpretation. As support for the Principles has spread, so has the breadth of these interpretations. In observing this creeping spread of interpretation, several of the original authors felt it was now appropriate to revisit the Principles, to clarify both what FAIRness is, and is not.
AB - The FAIR Data Principles propose that all scholarly output should be Findable, Accessible, Interoperable, and Reusable. As a set of guiding principles, expressing only the kinds of behaviours that researchers should expect from contemporary data resources, how the FAIR principles should manifest in reality was largely open to interpretation. As support for the Principles has spread, so has the breadth of these interpretations. In observing this creeping spread of interpretation, several of the original authors felt it was now appropriate to revisit the Principles, to clarify both what FAIRness is, and is not.
U2 - 10.3233/ISU-170824
DO - 10.3233/ISU-170824
M3 - Article
SN - 0167-5265
VL - 37
SP - 49
EP - 56
JO - Information Services and Use
JF - Information Services and Use
IS - 1
ER -