Practical De-identification Methods
Date: April 17, 2025
Time: 9:00 am – 5:00 pm
Location: Osler, Hoskin & Harcourt office, 100 King Street West, 63rd floor (in-person)
Registration: SOLD OUT!
Join CANON and AccessPrivacy for an interactive in-person course where our expert instructors will teach you about practical de-identification methods.
Access to and sharing of data provides great benefits – it is the foundation for research, innovation and progress – but it also brings concerns about privacy. Preserving the privacy of personal information is an ethical and regulatory responsbility when using and sharing data. Understanding the concepts of privacy disclosure and translating them into practical methodology is crucial when using or disclosing personal data in real world situations. This course on de-identification methods will guide you through the concepts and methods used in a risk-based de-identification approach.
Learning Objectives:
- Gain a broad understanding of the considerations around managing disclosure risks in data
- Learn practical methods for evaluating and managing disclosure risks
- Understand what are good practices for de-identification and for managing disclosure risks more generally
- Understand how to explain and justify pratices for evaluating and managing disclosure risks.
This course is informed by and grounded in exisiting international standards and guidelines around the world. It is taught by technical scholars in the field of applied de-identification who have contributed to a series of books on the topic.
Instructors:
- Khaled El Emam, Canada Research Chair in Medical AI, University of Ottawa, Senior Scientist, CHEO RI, and Scholar-in-Residence, Office of the Information and Privacy Commissioner of Ontario
- Lisa Pilgram, International Postdoctoral Fellow, University of Ottawa, and Clinician Scientist, Charité Berlin
Background Materials
This course will follow the methods outlined in:
- Guide to the De-Identification of Personal Health Information by Khaled El Emam
- De-identification Guidelines for Structured Data from the Information and Privacy Commissioner of Ontario
- ISO/IEC 27559:2022 Information security, cybersecurity and privacy protection – Privacy enhancing data de-identification framework
Eventbrite Link: https://www.eventbrite.ca/e/practical-de-identification-methods-tickets-1279668054599?aff=ebdssbdestsearch .