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.

The Data Quality subgroup created a survey intended to capture needs and expectations for data quality from a wide range of stakeholders. Your responses will help to identify common approaches and formulate recommendations to support data quality within EOSC.
Fill in the survey, it will take around 10 minutes of your time and will be open for you to respond till Thursday 5th May. 
By completing all answers, we are happy to acknowledge your contribution in the forthcoming EOSC data quality recommendations. Please email us back (carlo.lacagnina@bsc.es) if you would like your name to be included in the formal acknowledgement. For any further feedback do not hesitate to contact us for an individual interview. Your opinion is very important for shaping the EOSC!