Because good research needs good data

FAIRsFAIR Policy Characterisation Data for D3.1 (1.0)

TitleFAIRsFAIR Policy Characterisation Data for D3.1 (1.0)
Publication TypeDataset
Year of Publication2019
AuthorsDavidson J, Engelhardt C, Proudman V, Stoy L
Date Published11/2019

As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. The FAIRsFAIR project runs from March 2019-February 2022. Policies are a crucial component in the FAIR ecosystem. To this end, FAIRsFAIR Work Package 3 (WP3): FAIR Data Policy and Practice carried out an analysis of the current data policy landscape at various levels (national, funder, publisher, institutional) to provide a snapshot of the situation in 2019 and to identify policy elements that support or hinder FAIR data practice. To provide a comparative baseline for reviewing the data policies of various stakeholders, the priority and supporting actions presented in the Turning FAIR into Reality (TFiR) action plan were employed. To assess how well the policies of different stakeholders currently reflect TFiR’s action plan, we carried out desk research to characterise policies. 

Based on a review of existing policy characterisation efforts, FAIRsFAIR defined a total of 42 policy features to be reviewed during our landscape assessment. Fourteen of these features were intended to capture information about the policy itself (e.g., title, year of introduction, machine-readability) and 28 policy features were reviewed in relation to the content of the policy.