Towards a framework for Open Data literacy in education: A systematic mapping review of Open Data skills and learning approaches

Alejandra Celis Vargas, Rikke Magnussen, Ingrid Mulder, Birger Larsen
pp.  133 – 151, download


Open Data (OD) is defined as digital data that is made available with the technical and legal characteristics necessary to be freely used, reused, and redistributed by anyone, anytime and anywhere. Although OD can be seen as a commons, citizens often face challenges in accessing, using and making sense of available open datasets. Current literature identifies a lack of data expertise as one of the main barriers and emphasises the importance of strategies for training and teaching the appropriate competencies. Furthermore, a clear definition of OD skills and learning approaches is missed. A two-sided systematic mapping review with a focus on the educational domain was conducted to identify relevant OD skills and the approaches facilitating the development of these competencies. The results section presents a map of OD skills and learning approaches, while the discussion section elaborates on the potential of OD in education to empower students with skills and competencies to better understand their context, act in their everyday life environment and address future challenges. The current contribution is an OD literacy framework that puts OD at the centre of competence-based education, fostering responsible citizenship necessary for addressing today’s societal challenges.

Keywords: Open Data Education, Open Data skills, Open Data competencies, Open Data literacy, Responsible citizenship, Competence-based education.


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