Research Data Management

The UTM Library provides Research Data Management assistance, including the selection of data management planning resources, support for free storage, information on data sharing and long-term access. To request a consultation please contact Yayo Umetsubo.

Also see UTL Research Data Management...How do I?

Why Managing Research Data is Important:

  • To save time and expense through the research project life cycle
  • To share knowledge and allow for greater innovation in research
  • To comply with government funding and/or journal publishing policies

For an overview of Canadian government funding agency policies, consult the Tri-Agency Statement of Principles on Digital Data Management and Tri-Agency Research Data Management Policy For Consultation [Draft Policy] (SSHRC, CIHR. NSERC).



Develop Data Management Plan

Research Data Management should begin with the creation of a Data Management Plan (DMP). Data Management Plans should include the following completed sections:

  1. Research Project Title and Description
  2. Data Description (Types? Tools for collection& processing? Who collects, manages, uses? Who is responsible?)
  3. Metadata Information (What a potential user needs to make sense out of the data)
  4. Storage and Confidentiality details (Where and how to store? Backup details? Restrictions & access permissions?)
  5. Retention and Preservation details (What will be kept and for how long? Who is responsible?)


Constructing your own DMP with the online DMP Assistant is one recommended way. The Portage Training Resources page also offers exemplars (e.g., Digital Humanities, Secondary Data, and Mixed Methods) under DMP Exemplars.

The DMP Assistant has a Canadian research focus with it being supported by Portage (a national, library-based research data management network) and the Canadian Association of Research Libraries.