TY - JOUR
T1 - FAIR Data Point
T2 - A FAIR-Oriented Approach for Metadata Publication
AU - Santos, Luiz Olavo Bonino da Silva
AU - Burger, Kees
AU - Kaliyaperumal, Rajaram
A2 - Wilkinson, Mark D.
N1 - Funding Information:
The work on design, architecture and implementation of the FDP has been conducted in the scope of a variety of projects in the last 7 years. Currently, LOBSS, RK and KB are partially funded from the EU’s Horizon 2020 project FAIRsFAIR (grant number 831558). MDW and RK are funded via the EU’s Horizon 2020 research and innovation programme under the EJP RD COFUND-EJP #825575.
Publisher Copyright:
© 2022 Chinese Academy of Sciences.
PY - 2023/3
Y1 - 2023/3
N2 - Metadata, data about other digital objects, play an important role in FAIR with a direct relation to all FAIR principles. In this paper we present and discuss the FAIR Data Point (FDP), a software architecture aiming to define a common approach to publish semantically-rich and machine-actionable metadata according to the FAIR principles. We present the core components and features of the FDP, its approach to metadata provision, the criteria to evaluate whether an application adheres to the FDP specifications and the service to register, index and allow users to search for metadata content of available FDPs.
AB - Metadata, data about other digital objects, play an important role in FAIR with a direct relation to all FAIR principles. In this paper we present and discuss the FAIR Data Point (FDP), a software architecture aiming to define a common approach to publish semantically-rich and machine-actionable metadata according to the FAIR principles. We present the core components and features of the FDP, its approach to metadata provision, the criteria to evaluate whether an application adheres to the FDP specifications and the service to register, index and allow users to search for metadata content of available FDPs.
UR - http://dx.doi.org/10.1162/dint_a_00160
U2 - 10.1162/dint_a_00160
DO - 10.1162/dint_a_00160
M3 - Article
SN - 2641-435X
VL - 5
SP - 163
EP - 183
JO - Data Intelligence
JF - Data Intelligence
IS - 1
ER -