Data Management and governance 1600-SZD-SPEC-ZIN-ZJ
One of the key challenges associated with the dynamic development of digital markets is data management and oversight. The aim of this course is to present methods of data management and governance, with particular focus on the needs of organizations.
During the course, we will analyze the data lifecycle within an organization, taking into account the legal and ethical frameworks applicable at each stage.
Additionally, we will address the issue of data management for the purposes of scientific research.
Type of course
Course coordinators
Learning outcomes
Knowledge | Knows and understands:
WG_02 – the main developmental trends within the disciplines of the social sciences in which the education is conducted.
Skills | Is able to:
UW_01 – use knowledge from various fields of science, particularly from the social sciences, to creatively identify, formulate, and innovatively solve complex problems or carry out research-related tasks. In particular: define the aim and subject of scientific research in the field of social sciences, formulate a research hypothesis, develop research methods, techniques, and tools, and apply them creatively; draw conclusions based on scientific research results.
UK_04 – engage in scientific discourse within the field of social sciences.
Social competences | Is ready to:
KK_01 – critically evaluate the achievements within a given discipline in the field of social sciences.
Assessment criteria
Attendance requirements (including allowable excused absences):
Attendance is mandatory; one excused absence is allowed.
Course completion and assessment criteria (including resit options):
Preparation for classes and active participation in discussions (50%), presentation (50%).
Methods of assessing learning outcomes:
As above.
Evaluation criteria:
As 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) Literatura może zostać uzupełniona / zmieniona w czasie zajęć.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: