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

Yuri Demchenko; Lennart Stoy; Claudia Engelhardt; Vinciane Gaillard


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        "title": "Fostering FAIR Data Practices in Europe", 
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    "creators": [
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        "affiliation": "University of Amsterdam", 
        "name": "Yuri Demchenko"
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        "affiliation": "European University Association", 
        "name": "Lennart Stoy"
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        "affiliation": "UGOE", 
        "name": "Claudia Engelhardt"
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        "affiliation": "European University Association", 
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    "description": "<p>&ldquo;FAIR Competence Framework for Higher Education (Data Stewardship Professional Competence Framework)&rdquo; is the third deliverable from Work Package 7 &ldquo;FAIR Data Science and Professionalisation&rdquo; of the FAIRsFAIR project (<a href=\"http://www.fairsfair.eu\">www.fairsfair.eu</a>).</p>\n\n<p>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.</p>\n\n<p>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.</p>"
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