Bruyère Research Institute

Research Data Management at Bruyère and Bruyère RI


In order to respond and adapt to the changing research landscape in Canada and increasing compliance requirements for Research Data Management (RDM), Bruyère and the Bruyère Research Institute (RI) have developed a RDM Strategy outlining our approach to equip our research community with the knowledge, tools and supports to improve meaningful and robust RDM practices. This strategy will be a living document subject to recurring evaluation, review, and revision.

You can download our complete Research Data Management Strategy here (available in English only).

RDM encompasses the processes applied throughout the lifecycle of a research project to guide the collection, documentation, formatting, secure storage, sharing, re-use, deposit and preservation of research data, and allows researchers to find and access data, as per the the Tri-Agency Research Data Management Policy.


Bruyère and the Bruyère Research Institute are committed to fostering excellence in research data management.

This vision will be achieved through the development or adoption of tools, supports and guidance and through leveraging stakeholder relationships to educate and enable researchers to share and manage research data to the highest standards across the research data lifecycle.

Guiding Principles

The Bruyère RDM Strategy is developed with the following guiding principles front of mind:


  • Research Excellence — Advance impactful RDM practices as an integral part of cultivating research excellence.
  • Researcher-oriented — Support all researchers towards the adoption of RDM practices by developing or leveraging the best possible services and tools and through reducing barriers throughout the research data lifecycle.
  • Context-based or Distinction-based Approach — Promote flexibility and adaptability, recognizing that different research domains have different needs: ensuring the rights, interests, and circumstances of the individuals we do research with are respected, including participation from underrepresented groups (e.g., Women, persons with disabilities, Indigenous Peoples*, racialized minorities, individuals from the LGBTQ2+ community).


*Bruyère’s RDM strategy recognizes that research data created by and with First Nations, Metis and Inuit communities and organizations are managed according to research data management principles developed and approved by these communities and organizations, using principles such as OCAP, OCAS, Inuit Qaujimajatuqangit, USAI Research Framework, and CARE.

RDM Goals

Goal 1: Foster a culture of RDM-wise practices

  • Take a research-centred approach to promote wise practices around data management planning and data deposit, including permitted uses, preservation and disposal. This:
    • Includes the principle that research results should be made as open as possible, and as closed as necessary, to facilitate access and reuse;
    • Requires a commitment to the inclusive use of data management practices that strive to make data Findable, Accessible, Interoperable and Reusable (FAIR Guiding Principles).
  • Acknowledge that Indigenous peoples have the right to control the collection, ownership and application of Indigenous data and encourage the use of data management practices, such as the OCAP and CARE principles to support data sovereignty.

Goal 2: Improve communication, support, training and access to tools, resources, infrastructure, services (Engage in awareness-raising activities)

  • Expand RDM training opportunities, in collaboration with other stakeholders where appropriate;
  • Provide access to a range of clear and accessible tools, technologies, and support services to meet the needs of researchers throughout the research data life cycle.

Goal 3: Support organizational capacity including through collaboration with other stakeholders

  • Support respectful and mutually beneficial research relations with Ottawa Academic partners, government, not-for-profits, community-based actors and the private sector.

Goal 4: Strengthen RDM Governance

  • Formalize structures and supports to oversee compliance, revision, and implementation of the strategy and associated supports.

Future of RDM at Bruyère

This RDM Strategy represents the completion of the Tri-Agency requirement to create an institutional RDM Strategy (March 2023). We will continue to update this Strategy and move forward with supporting our researchers in the creation and use of Data Management Plans and Data Deposit.

Contact Us

Any comments, questions, or concerns about RDM at Bruyère and Bruyère RI can be directed to Alex Cornett.



RDM activities at Bruyère are based on the following resources and supports:

  • Bruyère’s RDM Strategy Advisory Group
  • Regional RDM Working Group
  • Internal feedback from the Bruyère Current State RDM Survey (conducted September 2022)