Basics of Data Anonymisation
Description
Personal data anonymisation and pseudo-anonymisation.
The aim of this course is to get familiar with the existing techniques and tools that allow personal data anonymisation or pseudo-anonymisation, with cases from research questionnaires, registry data, biometric or biomedical data, and geolocation data. I will also present some solutions for preserving the privacy of the data subjects while working with data that cannot be anonymised (secure computing, privacy-preserving machine learning, federated analysis, privacy-preserving data synthesis). Finally, we will also consider the ethical and legal risks associated with data pseudo-anonymisation.
This seminar is an updated version of https://www.youtube.com/watch?v=ILXeA4fx3cI. Slides at: Personal data (pseudo-)anonymization (figshare.com).
Who can participate?
Anyone working with personal data in research. The webinar is free and open to all.
Learning Outcomes
- Understanding the concepts and limitations of anonymisation and pseudo-anonymisation
- Getting an intuitive knowledge of how the different anonymisation techniques work
- Being able to critically evaluate if research work would benefit from anonymisation
- Being aware of the available anonymisation tools, given the different types of personal data
Format
A one-hour webinar with a presentation and a Q&A.
Schedule and location
The training will be held online via Zoom on November 8, at 1–2.00 PM Eastern European Time (EET).
Instructor(s)
Dr. Enrico Glerean, Data Agent, Staff Scientist, School of Science, Aalto University
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