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Research Data Governance Info Session

Event

Data Anonymization Workshop Series

Tuesday, October 3, 2023 10:00toWednesday, October 18, 2023 12:00

The McGill Digital Research Services Hub is delighted to invite all researchers and students to a series of online workshops on data anonymization, presented by national and international subject matter leading experts. This workshop series will provide attendees with an overview of data anonymization, as well as demonstrations of data anonymization tools for both qualitative and quantitative data.

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

 

This online workshop series is free and open to all researchers – please register for sessions using the links below. All workshops will be presented in English with simultaneous French interpretation.

 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
Registration: https://mcgill.zoom.us/meeting/register/tZMkceCpqDwvGt3kEdQq7ENmfy6REROcxR4S

 

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
Registration: https://mcgill.zoom.us/meeting/register/tZUodOGsrDkrGdSx03f_AMfl_0iRhOZr1xlK

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
Registration: https://mcgill.zoom.us/meeting/register/tZwufuqtqjgvGN0Sf_VvS8k9Aw1QYeZJfjc5

 

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; Albert Lai, PhD, Washington University School of Medicine in St. Louis; Aditi Gupta, Washington University in St. Louis
Registration: https://mcgill.zoom.us/meeting/register/tZUuc-qqrjwiHtd7gWdiXRWTDfhVm7TFuqFe

 

If you have questions about this workshop series, please reach out to our team at drs [at] mcgill.ca.

 

Participant consent:
Any person who attends any of the McGill Data Anonymization Workshops grants permission to McGill University to film, record and publish their participation in such workshops.

As part of this workshop series, participants in the workshops are recorded, and the footage may be edited, streamed, archived, broadcast, and otherwise retained by McGill University and made available to the public with a CC-BY 4.0 license. By participating in this workshop, participant consents to McGill University performing these actions, and agrees to hold harmless McGill University and its affiliates, members, trustees, agents, officers, contractors, volunteers and employees against any and all legal claims arising out of, by reason of, or caused by the performance of these actions or other use or distribution of any footage.

 

Collaboration and support:
This workshop series is led by McGill’s Digital Research Services Hub in collaboration with Western University Libraries and the Digital Research Alliance of Canada, and supported in part by funding from the Social Sciences and Humanities Research Council Connection Grant.

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