Data Anonymization Workshop Series

Image by Gerd Altmann from Pixabay

The Digital Research Services Hub at McGill University, in collaboration with Western Libraries,  invites researchers and research staff to a series of online workshops about data anonymization, presented by leading Canadian and international experts. This workshop series will provide attendees with an overview of data anonymization, as well as demonstrations of data anonymization software tools for both qualitative and quantitative data. 

This workshop series is free to attend and is open to researchers and research staff across Canada. For more information and to register, please visit the workshop event page. All workshops will be presented in English with simultaneous French interpretation. 

More info on the series:

Topics include but are not limited to:

  • What is data anonymization and why is it important
  • What makes data anonymization so challenging
  • How to anonymize data in practice
  • Available tools and resources

For Quantitative Data:

Title: Reducing risk: An introduction to data anonymization
Topics: Sensitive data, risk of re-identification and common techniques for anonymization and de-identification with quantitative data
Date: Tuesday October 3, 2023, 10:00am – 12:00 pm ET
Presented by: Kristi Thompson, MLIS, Western University

Title: ARX – Anonymising data in theory and practice
Topics: Hands-on practical workshop on Open-Source, NIST recommended and internationally recognized anonymization tool (ARX) for quantitative data
Date: Wednesday October 4, 2023, 10:00am – 12:00pm ET
Presented by: Fabian Prasser, PhD, Berlin Institute of Health

For Qualitative Data:

Title: Ethically sharing qualitative data
Topics: Introduction to data de-identification best practices for qualitative data to enable ethical sharing
Date: Tuesday October 17, 2023, 10:00am – 12:00pm ET
Presented by: Sebastian Karcher, PhD, Syracuse University

Title: Qualitative data sharing: A roadmap and resources to facilitate responsible and ethical data sharing
Topics: Introduction to data de-identification support tool (QDS Toolkit) for qualitative data using nature language processing pipeline for de-identifying text-based research materials
Date: Wednesday October 18, 2023, 10:00am – 12:00pm ET
Presented by: Jessica Mozersky, PhD, Washington University in St. Louis; Sara Britt, MPH, University of Michigan; Aditi Gupta, PhD, Washington University in St. Louis

If you have questions about this workshop series, please reach out to

Thank you! Your subscription has been confirmed. You'll hear from us soon.
Subscribe to the FIMULAW blog
Receive notifications when new posts are published