The intention of good data management practices is to improve the efficiency of the research process and address the expectations and requirements of the university, funders, publishers, and legislation.

This guide provides a high-level overview of data management best practices, guidelines, and related resources to ensure you meet your data management requirements.

Specific considerations may need to be adjusted based on the research discipline, methodology, type of data being created/collected, risks related to privacy and confidentiality, funder requirements, and other variables.

Data management planning

Learn how to create a Data Management Plan (DMP) to better articulate your long-term research strategies and goals and minimize risk throughout your research:

Creating your data

Learn how to create good data and securely manage it to more effectively process, analyze and share your data:

Data sharing and deposit

Learn more about data deposit options at UM Libraries and across Canada to enable data re-use and increase your research impact:

Further resources

The Libraries supports a number of repositories and services that make research data and scholarly communications accessible to the UM research community and beyond. To learn more, or if you have specific concerns/questions about research data management services at the Libraries, contact Research Services and Digital Strategies.

Research data management at UM

The Libraries is one of many resources across the University of Manitoba that provide assistance with research data management. Further guidance and support can be provided by:

Contact us

Research Services & Digital Strategies
Elizabeth Dafoe Library
University of Manitoba
Winnipeg, MB R3T 2N2 Canada