The FAIR Data Accelerator, “Cultivating Cultures of Data Sharing”, is one of four pilot projects for the
DSIT/UKRI Research Data Cloud Pilot Commission which are testing the need for a national research
cloud through a series of interventions designed to address data sharing barriers.
The FAIR Data Accelerator aimed to identify social and cultural barriers and explore approaches that
could contribute to address them in order to cultivate Cultures of Data Sharing across research
communities. The project brings together expertise from sociology of scientific knowledge, science
and technology studies, professional learning, and Digital Research Infrastructure (DRI). This pilot
focuses on addressing the human/social aspects including professional practice, professional
identity and agency, or the actions humans take in response to changes in their situation and context.
This overview outlines key aspects of the project, such as theoretical and methodological framework,
co-design methods, case studies, and recommendations. Additional information regarding these
issues is available in the following reports:
• Report 1: “Identifying, understanding and reframing social and cultural barriers to data
sharing”
• Report 2: “Co-designing, testing and evaluating social and cultural learning experiences”
• Rerpot 3: “Applied Learning Programme Framework: Concepts, tools and methods”
• Report 4: “Recommendations”
• Glossar
