Integrating FAIR Data Science Competences in Higher Education Curricula: The Role of Academic and Research Libraries  | FAIRsFAIR

“Our point of departure for the workshop was to present the findings from FAIRsFAIR survey activites conducted by the European University Association (EUA) in collaboration with partners of the FAIRsFAIR project during 2019 to investigate the extent to which FAIR research data management principles are present in university curricula. These findings and the related recommendations are documented in the recently published report D7.1 FAIR in Higher Education.  For easy reference, a quick graphic overview of the report is provided at this webpage. 

The findings most pertinent to workshop participants include:

Awareness of the FAIR principles is considered high among professional and support staff (e.g. data stewards, librarians), moderate among the institutional leadership, but still rather low among researchers and especially students.
Higher education institutions are increasingly aware of the need to integrate digital skills into their curricula. Only 38% of respondents to this question stated that their organisation had a related strategy in place at institutional or departmental level – or both. However 31% stated that although there was no strategy yet in place, their institution was developing one.
The extent to which data science skills are currently being addressed in university teaching is reported to be rather low overall at the bachelor and master level and moderate at the doctoral level. Respondents expressed an urgent need to strengthen the teaching of data-related competences at all three levels. …”