For further assistance with any aspect of research data management, please contact your liaison librarian. You will find a full list of liaisons on this page.
Research Data Management
Research Data Management
Resources for managing your research data.
Research data comes in a variety of formats, shapes, and sizes. The recently released Tri-Agency Research Data Management Policy requires that research data collected through Tri-Agency funding be responsibly and securely managed and be available for reuse. However, a funder mandate is not the only reason researchers should undertake research data management (RDM).
Including plans for research data management at the start of your research project can make your data administration easier throughout the research lifecycle.
Facts, measurements, recordings, records, or observations about the world collected by scientists and others, with a minimum of contextual interpretation. Data may be any format or medium taking the form of writings, notes, numbers, symbols, text, images, films, video, sound recordings, pictorial reproductions, drawings, designs or other graphical representations, procedural manuals, forms, diagrams, work flow charts, equipment descriptions, data files, data processing algorithms, or statistical records. (from the Original RDC Glossary).
What is research data management?
Research data management refers to the storage, access and preservation of data produced from a given investigation. 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. Specific activities and issues that fall within the category of RDM include:
research data management plans
file naming (the proper way to name computer files)
data quality control and quality assurance
data documentation (including levels of uncertainty)
RDM is not only an integral component of the research process but also a necessary part of research excellence. An increasing number of funding agencies have been advocating that grant recipients make their research data as accessible as possible. In March 2021, Tri-Agency Research Data Management Policy was released to promote sound RDM and data stewardship practices.
RDM benefits both researchers and society. For researchers, good research data management:
reduces the risk of data loss
encourages research collaboration
improves research integrity
enhances the visibility of research and research data
increases the potential impact (e.g. citations) of research work
facilitates the sharing and reuse of research data
For society, RDM:
provides more opportunities to build new knowledge upon existing data
assists with helping to find innovative solutions to address scientific, economic, and social challenges