Funding Tracker
2024-12-16
Tri-Agency engagement session on the new Research Data Management (RDM) Policy
Canada’s three federal research funding agencies — the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council (NSERC), and the Social Sciences and Humanities Research Council (SSHRC) (the agencies) — are inviting representatives of Canadian institutions to participate in a virtual engagement session on the Tri-Agency Research Data Management (RDM) Policy’s data deposit requirement.
Three sessions, one in French and two in English, will be held to accommodate as many participants as possible. Agency representatives will provide updates on the implementation of the Tri-Agency RDM Policy and on planning for the implementation of the data deposit requirement. Input on infrastructure and processes to support data retention, deposit and sharing, will be sought from attendees.
Format: Virtual Zoom meeting
When: Monday, January 27, 2025 from 13:00 - 15:00 EST (English)
Wednesday, January 29, 2025 from 13:00 - 15:00 EST (French)
Thursday, January 30, 2025 from 13:00 - 15:00 EST (English)
Please circulate this invitation to interested parties at your institution’s libraries, research ethics office, and the offices of the Chief Information Officer and Vice President Research. Experts on research data management, including researchers, are encouraged to attend. We invite a maximum of 3 representatives per institution to participate in the engagements.
Please use this form to indicate your interest in participating in one of the engagement sessions, and how we can endeavor to make this event more accessible to you (e.g., communication requirements). Note that the form will appear in your browser's preferred language setting.
Registration will close on January 15, 2025, and registered participants will receive the agenda and questions for discussion ahead of the engagement.
Questions regarding the engagement should be sent to:
We look forward to seeing you there,
The Tri-Agency Research Data Management Working Grou