Reducing Risk: An Introduction to Data Anonymization with Kristi Thompson Online
When and how can data on human participants be shared safely? Survey data often contains hidden indirect identifiers that could be exploited by a skilled attacker to determine a participants’ identity – anything from a date to a distance to a selected interview language could, in the wrong context or combination, pose risk.
Increasingly, researchers and organizations are being encouraged to share their research data. Open sharing of research data can help make research more transparent, reliable, and trustworthy, and also gives researchers and students access to more data to work with for teaching, learning and creating new research. However, research data on people – like much social science and medical data – can be challenging to share because it often contains confidential information.
In this presentation, Kristi Thompson (Research Data Management Librarian, Western Libraries, Western University) will introduce some of the theory that explains why data anonymization is so difficult, discuss techniques for assessing the risk in a dataset, and share some of the data anonymization issues she has encountered as a data curator.
Related LibGuide: Data Services by Carol Choi
- Date:
- Monday, February 10, 2025
- Time:
- 12:00pm - 1:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Libraries:
- Remote
- Online:
- This is an online event. Event URL will be sent via registration email.
- Type:
- Data Services classes Love Data Week
