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.
Biozentrum, University of Basel
Politecnico di Milano
Copenhagen University Library
German Center for Neurodegenerative Diseases
Kuusniemi, Mari Elisa
University of Tartu
University of Oxford
Graz University of Technology
Swedish Research Council