Open Science Challenges: Research Data Management Community of Practice Online
Presented by our friends at ReproducibiliTea, join us for an article club roundtable October 30 from 11 AM - 12 PM on Open Science Challenges from the perspectives of researcher, administrator, and librarians.
This event will bring together researchers (faculty, graduate, and undergraduate) with staff (administrators and librarians) to discuss some of the challenges of open science. We'll unpack what needs to be in place to make it happen: infrastructure to culture change to training and more.
Building on ReproducibiliTea's history as an article club, we'll be reading Madelin Burt-D’Agnillo and Mindy Thuna's 2024 article "Open Science at the University of Toronto: An Exploration of Researcher, Administrator, and Librarian Perspectives." Read the article ahead of time or just join for the discussion!
We'll be joined by Madelin Burt-D’Agnillo and Mindy Thuna alongside McMaster researchers and administrators: Kay McCallum, a Chemistry Doctoral Candidate at McMaster and an Editor for SciCommBites and Dr. Ryan Heyden (Lecturer and Research Coordinator in the Department of History and Senior Advisor in the Research Office for Administration, Development, and Support).
Here is the meeting link. Learn more and join the RDM community!
- Date:
- Thursday, October 30, 2025
- Time:
- 11:00am - 12:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Open (McMaster + Community)
- Categories:
- Research Data Management
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.
Elizabeth Phillips is a Research Data Management Specialist available to help researchers of all disciplines with RDM throughout the data lifecycle. She is finishing her PhD in the evolution of speech and song at McMaster in the department of Psychology, Neuroscience, and Behaviour. She has experience with R, Python, and OSF, as well as the McMaster SONA and MREB systems and Dataverse.
The Sherman Centre for Digital Scholarship supports McMaster students, faculty, and staff, as well as anyone curious about digital scholarship. From research and teaching to training and technical support, we’re here to help bring digital projects to life at every stage!
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