Research Data Management (RDM) refers to the processes applied throughout the life cycle of a research project to guide the collection, documentation, storage, sharing, and preservation of research data.
RDM practices cover the entire lifecycle of the data, from planning the investigation to conducting it, and from backing up data as it is created and used, to long-term preservation of data deliverables after the research investigation has concluded.
Researchers should review the Tri-Agency RDM Policy.
What is Research Data?
Primary sources supporting research, scholarship, or artistic endeavors
Can be used as evidence to validate findings
May take the form of experimental data, observational data, operational data, third-party data, public sector data, monitoring data, processed data, or repurposed data
All other digital and non-digital content have the potential to become research data