BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20260303T120123EST-5462F9OaO0@132.216.98.100 DTSTAMP:20260303T170123Z DESCRIPTION:The 91Ë¿¹ÏÊÓÆµ 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 91Ë¿¹ÏÊÓÆµ Data Anonymization Work shops grants permission to 91Ë¿¹ÏÊÓÆµ 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 91Ë¿¹ÏÊÓÆµ Un iversity and made available to the public with a CC-BY 4.0 license. By par ticipating in this workshop\, participant consents to 91Ë¿¹ÏÊÓÆµ pe rforming these actions\, and agrees to hold harmless 91Ë¿¹ÏÊÓÆµ 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 91Ë¿¹ÏÊÓÆµâ€™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:/drs/channels/event/data-anonymization-workshop-se ries-348581 END:VEVENT END:VCALENDAR