The following principles guide Research Data Management (RDM) at Queen鈥檚 University.
Research excellence
Queen鈥檚 commits to the use of data management practices that enhance the stewardship and ethical use of research funds. According to the Tri-Agency (2021), sound RDM practices support research excellence by 鈥渆nsuring that research is performed ethically and makes good use of public funds, experiments and studies are replicable, and research results are as accessible as possible. Research data management (RDM) is a necessary part of research excellence鈥 (, Government of Canada). Research excellence is founded on equity and diversity, advances knowledge mobilization and strengthens global impact.
Institutional support for researchers
Queen鈥檚 supports its researchers in the implementation of good RDM practices through the coordination of existing tools, technologies and service supports and by addressing any areas of need. Queen鈥檚 respects the use of diverse approaches reflective of various disciplines, research activities and projects.
Strong collaborations
Queen鈥檚 encourages collaborative ventures in research. The use of wise data management practices supports respectful and mutually beneficial research relations with government, not-for-profits, community-based actors, and the private sector.
Open dissemination of research results
Research results should be made as open as possible, and as closed as necessary, to facilitate access and reuse. This requires a commitment to the inclusive use of data management practices, such as the for data management and stewardship, which strive to make data Findable, Accessible, Interoperable and Reusable.
Respect for Indigenous communities
Queen鈥檚 acknowledges that Indigenous peoples have the right to control the collection, ownership and application of Indigenous data and encourages the use of data management practices, such as the and Principles to support data sovereignty.
Maintaining compliance and security
Queen鈥檚 respects the privacy, security, ethical considerations, and appropriate confidentiality provisions of its researchers. Queen鈥檚 complies with relevant legal and commercial obligations, supporting researchers with legal advice on data management considerations with legal implications.