Project deliverable Open Access
D7.2 Briefing on FAIR Competences and Synergies
Principe, Pedro;
Vieira, André;
Stoy, Lennart;
Engelhardt, Claudia;
Saenen, Bregt;
Davidson, Joy;
Whyte, Angus;
Demchenko, Yuri;
Herterich, Patricia;
Leenarts, Ellen
Public report from FAIRsFAIR project - Work Package 7 on “FAIR Data Science and Professionalisation”.
This report provides an overview and analysis of different existing competence frameworks, resources and training initiatives in the field of RDM, Open Science and FAIR data, with the purpose to inform and support the future design and application of relevant skills frameworks, in particular to-be-developed within FAIRsFAIR project activities. It presents eight different skills frameworks in the field of RDM, data stewardship, and Open Science and provides a summary of the main elements and coverage of skills and competences of each. This report is complemented with a brief overview of several training initiatives from a selection of European projects and research infrastructures, and an analysis of a sample of higher education courses and programmes, identifying the main elements and coverage of skills of each case to analyse whether existing competence frameworks are utilised in this process.
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D7.2_FAIRsFAIR_Briefing_on_FAIR_Competences_and_Synergies_20200902_v1.0.pdf
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- Publication date:
- August 31, 2020
- DOI:
-
- Keyword(s):
- FAIR data Open Science FAIR Competences
- Grants:
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European Commission:
- FAIRsFAIR - Fostering FAIR Data Practices in Europe (831558)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International