Research data management policies, practices, systems, and infrastructures are constantly developing and evolving, both nationally and internationally. The Research Intelligence Expert Group (RIEG) gathers evidence to guide the development of best practices in RDM in Canada, and informs stakeholder communities about existing and arising issues in related policies and practices. RIEG conducts and analyzes results from independent studies and surveys in order to provide evidence-based recommendations to Portage.
Current areas of interest for RIEG include
- Institutional preparedness to support RDM, in the areas of strategies, policies, capacity and resources,
- Emerging RDM support services outside of research institutions, and
- Researcher practices for managing and sharing research data.
To become a member, please complete the Portage Expression of Interest Form.
Current State of RDM Capacity Working Group
This group is examining the current capacity of Canadian research institutions to provide necessary RDM support before the final Tri-Agency RDM policy is announced. The group conducted a survey in the fall of 2019, and the findings are being shared with the Portage community through a series of reports (see below).
Institutional RDM Strategy and Policy Review Working Group
This group’s role is to gather information regarding the creation of institutional RDM strategies and/or policies in Canada, including information on their state of development, their content, and how they are administered. The group will identify ways of promoting and facilitating the completion of RDM strategies/policies, differences in progress and approach between institutions, and best practices in the development and administration of RDM strategies/policies.
Canadian RDM Survey Consortium
In 2016, several Canadian universities committed to working together, using a common survey instrument, to gather information about their respective researcher communities and generate a richer understanding of their users’ RDM practices and attitudes. This effort was in response to the looming changes in Canadian funding requirements around data sharing, data preservation and the submission of data management plans. Librarians at the participating institutions collaborated to better understand both national and local needs, as well as to generate a richer understanding of disciplinary practices by generating comparative data for cross analysis. The underlying aim was to understand researcher behaviour and scientific workflow, in order to develop data and information services solutions at several levels (national, regional, institutional) to better serve the academic research community. RIEG is the ongoing host of the instruments and documentation generated and collected during this process.
If your university wishes to participate in this RDM Survey Consortium, please contact Dylanne Dearborn, University of Toronto email@example.com.
- Roadmap of Research Priorities. Revised May 2021 PDF
- Institutional Research Data Management Services Capacity Survey INSIGHTS Report #3 Future of Institutional RDM Support: Required Resources, Investments, Challenges and Accelerators. May 2021 PDF
- Institutional Research Data Management Services Capacity Survey INSIGHTS Report #2 Current Capacity within Institutions: Highly Qualified Personnel, Infrastructure, and Services. February 2021 PDF
- Institutional Research Data Management Services Capacity Survey INSIGHTS Report #1 RDM Support within Organizations: Budget, Structure, and Strategies. June 2020 PDF
- Institutional Research Data Management Services Capacity Survey Executive Summary. January 2020 PDF
- Institutional RDM Strategy Survey – Summary of Results. November 2019 PDF