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Data Privacy Best Practices

Data Privacy Best Practices Online

The Privacy Office joins the Sherman Centre RDM Webinar Series to discuss data privacy best practices, including considerations for collecting, using, and sharing personal information. We will also discuss the privacy impact assessment process, determining appropriate data storage and analyzing vendor solutions. This workshop features a presentation by Trudi Wright (Privacy and Records Management Specialist) followed by a Q&A moderated by Isaac Pratt (Research Data Management Specialist). 

This workshop will be recorded and made publicly available. 

 

Date:
Thursday, March 10, 2022
Time:
1:30pm - 3:00pm
Time Zone:
Eastern Time - US & Canada (change)
Online:
This is an online event. Event URL will be sent via registration email.
Audience:
  Everyone  
Categories:
  Research Data Management  
Registration has closed.

More information on Sherman Centre Events can be found on the SCDS Events page.

CODE OF CONDUCT

The Sherman Centre and the McMaster University Library are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour. Please refer to our code of conduct webpage for more information.

Event Organizer

Profile photo of Isaac Pratt
Isaac Pratt

Isaac Pratt is a Research Data Management Specialist. Isaac holds a PhD in Anatomy & Cell Biology, and has research experience is in biomedical science and social science, specifically in Physics, Biological Anthropology, and Anatomy. He is available to help with any RDM related questions including data management planning, data storage & backup, data security, and data deposit and sharing. Isaac is a member of MREB and can help with questions about data management for ethics and sensitive data.

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