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Course description
Anonymization minimizes the risk data processing stages and can also enable data sharing and reuse. At the same time, full data anonymization is
often difficult, especially when working with qualitative and context-sensitive data such as interviews, audio and video recordings and images.
We will also present practical aspects of data minimization, including strategies for pseudonymizing and anonymizing interviews, surveys, and
different types of observational data.
There will be also a possibility of asking questions relating to individual dataset’s anonymization.
Target audience
Students and researches at UiO.
Learning outcomes
- You will have learned the primary considerations necessary when gathering personal data within a research context.
- You will have learned about the importance of data anonymization in research, core definitions and concepts relating to anonymization and
- challenges facing especially qualitative and context-sensitive data.
Prerequisites
- No previous knowledge is necessary
Required materials
- Laptop
Lunch
- There will be a complementary buffet-lunch at 12:00-13:00 from the Sverdrups spiseri (Georg Sverdrups Hus, 2nd floor).
- After you get your lunch, join us at Store møterom where we have reserved seats for #DSDays2027 participants.
Number of participants
30
Contact
If you have any questions regarding this course, or anything else about the DSDays 2027 event, please contact us per email: digitalscholarship@ub.uio.no