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DESCRIPTION:The McGill Digital Research Services Hub is delighted to invite
  all researchers and students to a series of online workshops on data anon
 ymization\, 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.\n\nTopics include but are not
  limited to:\n\n\n	What is data anonymization and why is it important\n	What
  makes data anonymization so challenging\n	How to anonymize data in practic
 e\n	Available tools and resources\n\n\nThis 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 Frenc
 h interpretation.\n\nFor Quantitative Data\n\nTitle: Reducing risk: An int
 roduction to data anonymization\n	Topics: Sensitive data\, risk of re-ident
 ification and common techniques for anonymization and de-identification wi
 th quantitative data\n	Date: Tuesday October 3\, 2023\, 10:00am – 12:00 pm 
 ET\n	Presented by: Kristi Thompson\, MLIS\, Western University\n	Registratio
 n: https://mcgill.zoom.us/meeting/register/tZMkceCpqDwvGt3kEdQq7ENmfy6RERO
 cxR4S\n\nTitle: ARX - Anonymising data in theory and practice\n	Topics: Han
 ds-on practical workshop on Open-Source\, NIST recommended and internation
 ally recognized anonymization tool (ARX) for quantitative data\n	Date: Wedn
 esday October 4\, 2023\, 10:00am – 12:00pm ET\n	Presented by: Fabian Prasse
 r\, PhD\, Berlin Institute of Health\n	Registration: https://mcgill.zoom.us
 /meeting/register/tZUodOGsrDkrGdSx03f_AMfl_0iRhOZr1xlK\n\nFor Qualitative 
 Data\n\nTitle: Ethically sharing qualitative data\n	Topics: Introduction to
  data de-identification best practices for qualitative data to enable ethi
 cal sharing\n	Date: Tuesday October 17\, 2023\, 10:00am – 12:00pm ET\n	Prese
 nted by: Sebastian Karcher\, PhD\, Syracuse University\n	Registration: http
 s://mcgill.zoom.us/meeting/register/tZwufuqtqjgvGN0Sf_VvS8k9Aw1QYeZJfjc5\n
 \nTitle: Qualitative data sharing: A roadmap and resources to facilitate r
 esponsible and ethical data sharing\n	Topics: Introduction to data de-ident
 ification support tool (QDS Toolkit) for qualitative data using nature lan
 guage processing pipeline for de-identifying text-based research materials
 \n	Date: Wednesday October 18\, 2023\, 10:00am – 12:00pm ET\n	Presented by: 
 Jessica Mozersky\, PhD\, Washington University in St. Louis\; Sara Britt\,
  MPH\, University of Michigan\; Albert Lai\, PhD\, Washington University S
 chool of Medicine in St. Louis\; Aditi Gupta\, Washington University in St
 . Louis\n	Registration: https://mcgill.zoom.us/meeting/register/tZUuc-qqrjw
 iHtd7gWdiXRWTDfhVm7TFuqFe\n\nIf you have questions about this workshop ser
 ies\, please reach out to our team at drs [at] mcgill.ca.\n\nParticipant c
 onsent\n\nAny person who attends any of the McGill Data Anonymization Work
 shops grants permission to McGill University to film\, record and publish 
 their participation in such workshops.\n\nAs part of this workshop series\
 , participants in the workshops are recorded\, and the footage may be edit
 ed\, streamed\, archived\, broadcast\, and otherwise retained by McGill Un
 iversity and made available to the public with a CC-BY 4.0 license. By par
 ticipating in this workshop\, participant consents to McGill University pe
 rforming these actions\, and agrees to hold harmless McGill University and
  its affiliates\, members\, trustees\, agents\, officers\, contractors\, v
 olunteers 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.\n\nCollaboration and support\n\nThis works
 hop series is led by McGill’s Digital Research Services Hub in collaborati
 on with Western University Libraries and the Digital Research Alliance of 
 Canada\, and supported in part by funding from the Social Sciences and Hum
 anities Research Council Connection Grant.\n
DTSTART:20231003T140000Z
DTEND:20231018T160000Z
SUMMARY:Data Anonymization Workshop Series
URL:https://www.mcgill.ca/drs/channels/event/data-anonymization-workshop-se
 ries-348581
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