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.

 

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