Conference paper Open Access
Research Data Management and Data Stewardship Competences in University Curriculum
Yuri Demchenko;
Lennart Stoy
Skills for data governance and management are critical for the wide adoption of Open Science practices and effective use of the data in research, industry, business and other economic sectors. The FAIR (Findable – Accessible – Interoperable - Reusable) data management principles and data stewardship provide a foundation for effective research data management. The 2018 “Turning FAIR into Reality” report and other documents recommend that data skills should be more widely included in university curricula and that a concerted effort should be made to coordinate and accelerate the pedagogy for professional data roles. Throughout Europe and beyond, many organisations, projects and initiatives work on providing training on FAIR data competences. However, wider adoption of the FAIR data culture can be achieved by including FAIR competences into university curricula. This paper presents the ongoing work of the FAIRsFAIR project to develop a Data Stewardship competence framework and to provide recommendations for implementing this framework in university curricula by means of defining the Data Stewardship Body of Knowledge Model Curricula. The proposed approach and identified competences and knowledge topics are supported by a job market analysis. The presented work is actively using the EDISON Data Science Framework as a basis for Data Stewardship competences definition and methodology for linking competences, skills, knowledge, and intended learning outcomes when designing curricula.
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- Publication date:
- April 21, 2021
- DOI:
-
- Keyword(s):
- Data Steward Professional Data Management and Governance Research Data Management FAIR data principles Data Stewardship Competence Framework (CF-DSP) EDISON Data Science Framework (EDSF)
- Grants:
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European Commission:
- FAIRsFAIR - Fostering FAIR Data Practices in Europe (831558)
- Meeting:
- EDUCON2021 – IEEE Global Engineering Education Conference (EDUCON2021), Vienna, Austria (Virtual), 21-23 April 2021 (Session Session "Special Session Data Science Education")
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International