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
Al-Zoubi
Anastasija
Andrea
Arnaud
Benincasa
Bertino
Biehlmaier
Cappiello
Carlo
Christelle
Cinzia
David
Eefke
Elli
Fernando
Francesco
Gingold
Grootveld
Hajič
Hannes
Harga
Hecker
Huber
Hylke
Jan
Josefine
Kleemola
Koers
Kuusniemi
Lacagnina
Louise
Lowenthal
Mari
Mari Elisa
Marjan
Nikiforova
Nordling
Oliver
Papadopoulou
Pierkot
Raed
Robert
Romain
Sansone
Sarah
Smit
Stryeck
Sumithra
Susanna-Assunta
Thiemann
Velupillai
Wright