New Research Data Management Policy Webinars:
On March 15,2021, Tri-Agency published its new Tri-Agency Research Data Management Policy. This policy statement provides clear expectations for researchers and universities on how research data collected through the use of public funds should be collected, managed, stored, and sometimes shared according to RDM best practices and disciplinary norms.
Learn more about the policy and our RDM services in these free webinars. These sessions currently run to April 30, but spring and fall are being scheduled. Your can also contact us to arrange a meeting with your department, lab, or faculty.
|Topic||Date and Time|
|The New Tri-Agency RDM Policy: What it means for you||23 April 2021, 11am-12pm ET|
|Data Management Plans: What they are and how to write them||15 Apr 2021, 1pm-2pm ET|
|Data Management Plans: What they are and how to write them||20 Apr 2021, 10am-11am ET|
|Data Management Plans: What they are and how to write them||30 Apr 2021, 10:30-11:30am ET|
|Research Data Deposit with Dataverse||29 Apr 2021, 2:30-3:30pm ET|
How is the RDM Policy aligned with other Tri-Agency Expectations?
The new policy is aligned with existing Tri-Agency guidance documents, including:
- the 2016 Tri-Agency Statement of Principles on Digital Data Management
- the 2014 Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans
- the 2015 Tri-Agency Open Access Policy on Publications
The Policy also acknowledges Indigenous self-determination and data sovereignty: data related to research by and with Indigenous stakeholders must be managed in accordance with RDM principles developed and approved by these partners. It cites the First Nations Information Governance Centre (FNIGC)’s OCAP Principles as one model of data governance for consideration.
What are the Tri-Agency RDM Policy Requirements?
There are 3 policy requirements for Laurier and its researchers.
- Post-secondary institutions must develop an RDM strategy that outlines their current and future RDM capacity, challenges, and needs. Strategies should reflect the institution’s circumstances (e.g., research intensity, size, staffing) but also nurture research environments that enable and support RDM
- Implementation Timeline: Institutional Strategies must be posted by March 1, 2023
Data Management Plans (DMPs)
Tri-Agency Grant proposals should include data management plans (DMPs) that reflect best practices in RDM. For some funding opportunities, DMPs may be part of the proposal’s adjudication. DMPs include information on how data is collected and described, whether and how it is to be shared, roles and responsibilities, ethical constraints affecting data management, and information on how data collected with Indigenous partners respect their data sovereignty.
Implementation Timeline: Tri-Agencies will identify by Spring 2022 which funding opportunities will be fully subject to the RDM requirement.
- Grant recipients must deposit research data, metadata, and code that support any research conclusions in journal publications and pre-prints. Disciplinary norms should guide which data must be preserved. While data sharing is not required, Tri-Agency expects researchers to provide access to data when ethical and legally possible according to the FAIR principles.
- Research data collected in partnership with Indigenous communities will be subject to their RDM guidance. This could result in data repatriation and/or exceptions to this data deposit requirement.
- Implementation Timeline: This requirement will be phased in after institutional strategies are reviewed by Tri-Agency.
Researchers can familiarize themselves with the requirements in the Policy itself or consult with the Library's Coordinator, Research Data Services.
Laurier Library’s RDM Services
The Laurier Library and the University have been preparing for the RDM Policy since the release of its first draft for consultation in 2018. At the Library, we provide DMP consultation services, including needs assessments and collaborative writing in our online DMP Assistant. We lend advice on active and post-publication data management and curation. Researchers are also able to deposit their research data in the Library’s research data repository, Dataverse. Dataverse is a recognized research data platform that meets most publishers and granting agencies' deposit requirements. Research data submitted to Dataverse is curated according to national best practices and is indexed in most data search engines, including FRDR, DataCite, Data Citation Index, and Google Data Search.