
Data clinics are an interactive collaboration and teaching format designed to bridge theory and practice in the field of data governance and ethics. They run as part of the teaching program in the Chair for Philosophy and History of Science and Technology in the School of Social Sciences and Technology at the Technical University of Munich (TUM), as part of the activities of the Ethical Data Initiative (EDI). This poster shares pedagogical methods and results from the data clinic run in January 2026 as a TUM 'Project Week' exploring issues linked to secondary health data use within the European Health Data Space. It documents activities from the project week and illustrates the data clinic format, including by showing the kinds of analyses and proposals students produced in response to this concrete challenge. The ethical challenge for the clinic was provided by Gesundheit Österreich GmbH (Austrian National Public Health Institute). Project week activities were funded by a grant from the TUM Project Weeks Excellence Strategy. The poster sets out the data clinic format, the detail of the ethical challenge, activities undertaking during the project week, as well as key terms and selected results produced by the students on issues around public participation in aspects of decision-making processes around secondary health data.
Ethics, Data Science/ethics, EHDS, Patient Generated Health Data
Ethics, Data Science/ethics, EHDS, Patient Generated Health Data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
