Hands-on Data Protection, Dec 3 & 5, 2024

Description

The goals for this two-day workshop are practical: to familiarise participants with the concepts of data protection in research, actually minimise/pseudonymise/anonymise personal data in many of its forms, and use modern techniques for working with personal/sensitive data. This is a six-hour (in total) workshop that requires active participation and group work to complete tasks.

Who can participate?

Anyone who works with personal data in all its forms (background variables from questionnaires, medical images, health data, geospatial location data, speech, videos, pictures, etc…). Active participation is required, please do not register if you cannot access a computer equipped with a microphone and keyboard during the workshop. Webcam is not required. The workshop is free and open to all.

Format

The session consists of two days, three hours each. A 1 ECTS credit is available for those participants who are willing to do some extra homework.

Schedule and location

The workshop will be held online via Zoom on December 3 and 5, at 12–3 PM Eastern European Time (EET). The workshop will not be recorded to allow participants to freely talk and interact.

The structure of the workshop below is a draft. The goal is to adapt to the actual needs of the majority of the participants in the room.

Day 1 – 3/12/2024 12:00–15:00
12:00 - 12:10: Intro and motivation (Enrico Glerean) 
12:10 - 12:25: Principles of data protection (Anniina Harju) 
12:25 - 12:50: Hands-on exercise #1: tabular data and spreadsheets programs    
13:00 - 13:30: Basics of data anonymisation  
13:30 - 14:00: Learning k-anonymity with Amnesia tool (demo and exercise #2) 
14:10 - 14:30: Data Management Plans with personal data (Essi Viitanen) 
14:30 - 15:00: Questions and wrap-up 
 
Day 2 – 5/12/2024 12:00–15:00 
12:00 - 12:10: Intro + recap from day 1 
12:10 - 12:50: Working with audio/visual/text material 
13:00 - 13:30: Hands-on exercise #4: anonymisation of a transcribed interview 
13:30 - 13:50: Overview of more advanced data types (depending on the interest of the audience): medical images, geospatial data 
14:00 - 14:30: When anonymisation is not possible and data is sensitive: secure data analysis workflows, data synthesis (this can be made longer depending on the interest of the audience) 
14:30 - 15:00: Questions, future directions, and various unsolved issues between data protection, open science, and research integrity along the personal data lifecycle.  
 
Not covered unless there is interest: visualising personal data, sharing personal data, making personal data FAIR through data minimisation and data protection, federated approaches, using AI safely for minimising and processing personal data; example of local "GPT" Large Language Models.

Instructor(s)

Dr. Enrico Glerean, Staff Scientist, Data Agent, School of Science, Aalto University
Dr. Essi Viitanen, Senior Advisor, Data Agent, Research Services, Aalto University
Anniina Harju, Legal Counsel, Aalto Ethics Committee, Legal Services, Aalto University
 

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