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Public report from FAIRsFAIR project - Work Package 7 on “FAIR Data Science and Professionalisation”. This is the draft version of the deliverable not yet approved by the European Commission. 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.
FAIR data, Open Science, FAIR Competences
FAIR data, Open Science, FAIR Competences
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 40 |

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