THP’s RDM strategy was developed to support those who conduct or support research occurring within and/or under the auspices of THP.
Oversight and Review
At THP the RDM Working Group has been responsible for overseeing the implementation of the RDM strategy. The strategy will be reviewed and updated annually and move to a 3-year review cycle once all activities to inform the strategy are fully developed. Oversight of the RDM strategy will occur through an RDM Committee that will consist of members from the following areas:
- Privacy and Information Security
- Library & Knowledge Services
- The Research Ethics Board
- IBH Operations
- Data, Insights & Advanced Analytics
- Science Portfolio
- Research Finance
The IBH Senior Leadership Committee will be responsible for reviewing and providing final approval of the RDM strategy, including revisions to the RDM strategy.
How to Properly Manage Data
Researchers are responsible for adopting RDM practices. This includes ensuring the safe handling, secure storage, and appropriate security controls and restrictions around access to information. Research data also needs to be managed in ways that adhere to all legal and ethical requirements and fulfill any sponsor obligations or research partner and/or community expectations.
It is recognized that what constitutes research data will differ by project and that different kinds of data or research methodologies will require distinct practices to make the data most useful. Data management decisions will also be impacted by the characteristics of the individual datasets. Likewise, disciplinary standards and practices may influence the management of data, including approaches to workflows, required documentation, metadata selection, and repository selection for data deposit and sharing. Research involving confidential or sensitive data will need to adhere to legal and ethical frameworks to ensure information is protected and to reduce risk of harm. Researchers working with marginalized communities should follow community-developed principles and engage with members to design research approaches. When working with Indigenous peoples or communities, this involves recognizing the right to Indigenous data sovereignty and the authority and authenticity of Indigenous epistemological approaches to knowledge (Indigenous ways of knowing). When working with Black communities, and engaged in research that seeks to collect race-based data involving Black communities, this involves: (1) recognizing the importance of honoring Black communities right to govern data collection, management, analysis and use as a key part of self-determination; and (2) the importance of Black communities identifying ways to protect and manage the way their data is shared or linked to other systems.
Expectations for Research Data Management Practices
Researchers must ensure security requirements and guidelines are implemented and follow the institutional Data Classification levels and associated actions under the Information Security Standard. The appropriate selection and use of infrastructure should align with best practices and project needs. First, consider the use of approved and vetted resources. If considering the use of other resources, ensure compliance with relevant policies, procedures, and security guidelines. Data should be managed in ways that protect against data corruption and employ appropriate protections to safeguard against economic and geopolitical risks, misuse and the theft of intellectual property.
Researchers should be aware of the supports available through central and divisional services. Researchers should leverage opportunities to increase the understanding of RDM and utilize resources that aid in the implementation of responsible data management practices. Communication channels should also be used to stay abreast of developments, supports, and opportunities for feedback and engagement. All researchers, research team members, and students should be encouraged to build capacity and skills in data management activities and practices, and RDM concepts should be integrated into training and teaching when possible.