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.
Members
Aguilar-Gómez, Fernando
CSIC
Biehlmaier, Oliver
Biozentrum, University of Basel
Cappiello, Cinzia
Politecnico di Milano
David, Romain
ERINHA AISBL
Hajič, Jan
Charles University
Hecker, David
German Center for Neurodegenerative Diseases
Kleemola, Mari
CESSDA ERIC
Kuusniemi, Mari Elisa
OpenAIRE
Nikiforova, Anastasija
University of Tartu
Papadopoulou, Elli
ATHENA RC
Sansone, Susanna-Assunta
University of Oxford
Smit, Eefke
STM Association
Stryeck, Sarah
Graz University of Technology
Velupillai, Sumithra
Swedish Research Council
