0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessIn March 2021, Canada’s three federal research funding agencies introduced the Tri-Agency Research Data Management (RDM) Policy, with the objective of promoting sound RDM and data stewardship practices at research institutions. Among the requirements of the Policy, each post-secondary institution and research hospital eligible to administer agency funds was required to publish an institutional RDM strategy. This study presents a cross-sectional mapping of published institutional strategies ( n = 211) in response to the Tri-Agency RDM Policy requirement. We extracted information pertaining to institutional characteristics, institutional needs, and support models for data management planning and data deposit. Our analysis of institutional strategies indicates that developing RDM expertise among researchers (84%, n = 177) and research support staff (61%, n = 129) is of high priority. We also found that most institutions did not describe activities to promote behavioural changes and foster a broader culture of RDM among researchers; only 6% of institutional strategies ( n = 12) explored shifting incentives and rewards. A mapping of institutional RDM strategies is an important step to identify potential gaps in responding to the Policy. We find that further efforts are needed to address consultation gaps, resource constraints, and support for data management plans and data deposit to foster a robust and effective RDM culture at Canadian research institutions.
Chantal Ripp, Anna Catharina Vieira Armond, Marc A. Albert, Alexandra Apavaloae, Alexandra Cooper, Lucia Costanzo, Dylanne Dearborn, Aaron Franks, Sadia Khan, Elizabeth Lartey, Kailyn MacKinnon, David Moher, Francesk Perpalaj, Dominique G. Roche, Janina Ramos, Michael Steeleworthy, Minglu Wang, Kelly D. Cobey (2025). Mapping Canadian institutional research data management strategies: a cross-sectional study. , 10, DOI: https://doi.org/10.1139/facets-2024-0332.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2025
Authors
18
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1139/facets-2024-0332
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access