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While it is generally recommended that all data underlying a scientific article is published, researchers working with personal and/or sensitive data often refrain from doing so because of ethical or legal reasons or because they do not know how. However, even sensitive data can be shared if individuals have been de-identified (with anonymization or pseudonymization techniques) and if study participants have agreed to the sharing of their (de-identified) data. In this course, participants will require the necessary skill set to address legal and ethical considerations to eventually publish personal or sensitive data. Participants will learn about copyright, licenses, data protection, disclosure risk and data utility and will practice reproducible anonymisation techniques in hands-on sessions (for qualitative and quantitative data). The course takes place in two half-days with online learning components before each course day.
At the end of the course, participants are able to:
• … understand the principles of data protection and copyright
Dr. Melanie Röthlisberger & Dr. Eva Furrer & Reto Gerber
|Target participants||This course is aimed at any researchers at the UZH who work with sensitive or personal data. Participants working with quantitative data are required to have some prior working knowledge of R.|
16 January 2023 13:00 - 17:00h
30 January 2023 13:00 - 17:00h
16 January 2023 RAA-E-30
30 January 2023 RAA-E-29
There is no registration fee for this course.