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Publication . Other literature type . Project deliverable . 2021

D7.3 FAIR Competence Framework for Higher Education (Data Stewardship Professional Competence Framework)

Yuri Demchenko; Lennart Stoy; Claudia Engelhardt; Vinciane Gaillard;
Open Access
English
Abstract

“FAIR Competence Framework for Higher Education (Data Stewardship Professional Competence Framework)” is the third deliverable from Work Package 7 “FAIR Data Science and Professionalisation” of the FAIRsFAIR project (www.fairsfair.eu). The report presents a proposed FAIR Competence Framework for Higher Education (FAIR4HE) that is defined as a part of the general Data Stewardship Professional Competence Framework (CF-DSP) presented in the deliverable. The proposed CF-DSP defines the set of competences that extend the competences initially defined in the EDISON Data Science Framework (EDSF). The proposed competence framework is defined based on a recent job market analysis for the Data Steward and related professions. The presented CF-DSP has been validated against existing Data Stewardship competence frameworks defined primarily for the research community or practitioners. CF-DSP provides the competences definition structure that allows easy mapping to a Body of Knowledge and set of Learning Outcomes that can be used for defining academic curricula. The presented CF-DSP has been discussed with, and incorporated feedback from, several community events organised by the FAIRsFAIR project.

Subjects

Research data management, competence framework, FAIR data, higher education, data science

Funded by
EC| FAIRsFAIR
Project
FAIRsFAIR
Fostering FAIR Data Practices in Europe
  • Funder: European Commission (EC)
  • Project Code: 831558
  • Funding stream: H2020 | CSA
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Other literature type . 2021
Providers: ZENODO
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