FAIR metrics and Data Quality
The FAIR metrics and Data Quality Task Force will implement the proposed FAIR metrics for EOSC by assessing their applicability across research communities and testing a range of tools to enable uptake. Recommendations will be made to update metrics and adopt tools as appropriate. In addition, the group will undertake a state of the art to understand measures of data quality, conducting several case studies to identify common features and dimensions to define an approach for EOSC.
Chairs
Chris Schubert
TU Wien
Mark Wilkinson
UPM
Board Liaison
Sarah Jones
Members
Aguilar-Gómez, Fernando
CSIC
Al-Zoubi, Raed
ASREN
Bertino, Andrea
SWITCH
Biehlmaier, Oliver
Biozentrum, University of Basel
Cappiello, Cinzia
Politecnico di Milano
David, Romain
ERINHA AISBL
Dennis, Richard
Copenhagen University Library
Gingold, Arnaud
CNRS
Grootveld, Marjan
DANS
Hajič, Jan
Charles University
Hecker, David
German Aerospace Center
Huber, Robert
PANGAEA
Kleemola, Mari
CESSDA ERIC
Kuusniemi, Mari Elisa
OpenAIRE
Lacagnina, Carlo
BSC
Nikiforova, Anastasija
BBMRI
Nordling, Josefine
CSC
Papadopoulou, Elli
ATHENA RC
Pierkot, Christelle
CNRS
Sansone, Susanna-Assunta
University of Oxford
Smit, Eefke
STM Association
Stryeck, Sarah
Graz University of Technology
Thiemann, Hannes
DKRZ
Velupillai, Sumithra
Swedish Research Council
Wright, Louise
EURAMET