Data Governance and Data Sharing in the EU 1600-SZD-SPEC-DG-ZJ
This course explores the evolving landscape of data governance and data sharing within the European Union, equipping students with essential knowledge to navigate regulatory challenges in digital business environments. Participants will delve into key EU frameworks such as the GDPR, Data Governance Act (DGA), and Data Act, analyzing how these regulations shape data strategies for organizations. Through case studies, students learn to balance compliance with innovation, addressing topics like data portability, interoperability, and the role of data intermediaries in fostering a single European data market. The course also focuses on practical implications for management, including risk assessment, data stewardship models, and strategies for cross-border data sharing. Students will engage with concepts such as implementing data altruism initiatives or preparing for the European Data Spaces. By course end, participants gain actionable skills to design governance frameworks that enhance competitiveness, ensure ethical data use, and align with EU fundamental freedoms, preparing them for roles in data-driven enterprises.
Course coordinators
Learning outcomes
Knowledge | The graduate knows and understands:
WG_01 - to the extent necessary for existing paradigms to be revised - a worldwide body of work, covering theoretical foundations as well as general and selected specific issues - relevant to a particular discipline
within the social sciences
WG_02 - the main development trends in the disciplines of the social sciences in which the education is provided
WG_03 - scientific research methodology in the field of the social sciences
WK_01 - fundamental dilemmas of modern civilisation from the perspective of the social sciences
Skills | The graduate is able to:
UK_05 - speaking a foreign language at B2 level of the Common European Framework of Reference for Languages using the professional terminology specific to the discipline within the social sciences, to the extent enabling participation in an international scientific and professional environment
Social competences | The graduate is ready to
KO_01 - fulfilling the social obligations of researchers and creators
KO_02 - fulfilling social obligations and taking actions in the public interest, in particular in initiating actions in the public interest
KO_03 - think and acting in an entrepreneurial manner
Assessment criteria
Description of requirements related to participation in classes, including the permitted number of explained absences: Presence in class, active participation, 1 absence permitted
Principles for passing the classes and the subject (including resit session): Preparation for each class, active participation. Presentation (non-mandatory, extra credit)
Methods for the verification of learning outcomes: see above
Evaluation criteria: see above
Bibliography
1) Lis, Dominik and Otto, Boris, "Data Governance in Data Ecosystems – Insights from Organizations" (2020).AMCIS 2020 Proceedings. 12. https://aisel.aisnet.org/amcis2020/strategic_uses_it/strategic_uses_it/12 2) Yallop, A.C., Gică, O.A., Moisescu, O.I., Coroș, M.M. and Séraphin, H. (2023), "The digital traveller: implications for data ethics and data governance in tourism and hospitality", Journal of Consumer Marketing, Vol. 40 No. 2, pp. 155-170. https://doi.org/10.1108/JCM-12-2020-4278. 3) Marijn Janssen, Paul Brous, Elsa Estevez, Luis S. Barbosa, Tomasz Janowski,Data governance: Organizing data for trustworthy Artificial Intelligence,Government Information Quarterly,Volume 37, Issue 3,2020,101493,ISSN 0740-624X,https://doi.org/10.1016/j.giq.2020.101493. 4) Micheli, M., Ponti, M., Craglia, M., & Berti Suman, A. (2020). Emerging models of data governance in the age of datafication. Big Data & Society, 7(2). https://doi.org/10.1177/2053951720948087 5) Ruohonen, J., Mickelsson, S. Reflections on the Data Governance Act. DISO 2, 10 (2023). https://doi.org/10.1007/s44206-023-00041-7 6) Kerasidou, A., Kerasidou, C. Data-driven research and healthcare: public trust, data governance and the NHS. BMC Med Ethics 24, 51 (2023). https://doi.org/10.1186/s12910-023-00922-z 7) Elizabeth Davidson, Lauri Wessel, Jenifer Sunrise Winter, Susan Winter,Future directions for scholarship on data governance, digital innovation, and grand challenges,Information and Organization,Volume 33, Issue 1,2023,100454,ISSN 1471-7727,https://doi.org/10.1016/j.infoandorg.2023.100454. 8) The list is subject to amendments during the course.