Call for Feedback – Tri-Agency Research Data Management Policy (PDAD&C #105)
|From:||Vivek Goel, Vice-President, Research & Innovation|
|Date:||June 7, 2018|
|Re:||Call for Feedback – Tri-Agency Research Data Management Policy (PDAD&C #105)|
The three federal research funding agencies—the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Social Sciences and Humanities Research Council of Canada (SSHRC) (the agencies)—have developed a draft Tri-Agency Research Data Management Policy, which aims to support Canadian research excellence by fostering sound digital data management and data stewardship practices. The Policy follows the consultation and release in 2016 of the Tri-Agency Statement of Principles on Digital Data Management, for which institutions and individuals were also asked for input.
The draft Policy includes suggested requirements related to three primary areas:
- Institutional data management strategies;
- Researcher data management plans;
- Data deposit.
The agencies have also developed a Frequently Asked Questions (FAQs) resource, which includes information about data management, background on Tri-Agency Research Data Management Policy development, and guidance on complying with the proposed requirements.
The agencies have invited institutions, associations, organizations, and individuals to comment on the draft Policy and its usefulness in advancing data management practices in Canada. Feedback will inform the final design of the Policy, which the agencies plan to launch in 2019. Feedback can be submitted until Friday, August 31, 2018.
Given the importance of data management for the University of Toronto community, we will be submitting an institutional response to the call for feedback. We also encourage members of the University community to provide their own input directly to one of the email addresses below, and to share their submission with us at email@example.com if possible. Broad input from as wide a range of disciplines as possible is important to reflect the unique aspects of data management in different areas of scholarship.