Research data management at the Libraries
Data Management is the organization of data across the entire research lifecycle: from planning, creation/collection, processing, analysis, sharing, preserving, and re-using of that data.
This guide provides an overview of data management best practices, guidelines, and related resources to ensure you meet your data management requirements. Find information on data storage, sharing & deposit; data management plans, data creation supports and digital preservation principles and guidelines.
Data storage, sharing & deposit
Learn more about data deposit options at UM Libraries and across Canada to enable data re-use and increase your research impact:
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.
Tools
Additional resources
Creating your data
Learn how to create good data and securely manage it to more effectively process, analyze and share your data
Additional resources
Files and formats
- Guide to naming and organizing files and folders (worksheet by MIT's RDM librarian)
- List of file formats
- List of file name extensions
Metadata and documentation
- Guide to writing "readme" style metadata (Cornell University)
- List of metadata standards (Digital Curation Centre)
- Metadata best practice guide (DataOne)
- Metadata guide (Australian National Data Service)
- Metadata standards catalogue (Research Data Alliance)
- Readme.txt (Graduate Institute Geneva)
Finding data
Data visualization
RDM requirements
Elements of research data management are increasingly being mandated by funders, institutional policies, and publishers. Funders may require data management plans (DMPs) within an application, as we are beginning to see with the Canadian Tri-Agency RDM Policy. RDM funder requirements are mandated in other countries as well, including US funders such as NIH and NSF, and UK funders such as the Wellcome Trust. Data sharing in some form may be required by funders or by publisher, either within a specific data repository, or linked within the publication text using a URL or DOI.
Institutional policies may also have RDM implications. At this time there are no specific RDM policies at the University of Manitoba, however data security policies and ethics board guidance may come in to play.
Digital preservation
Learn more about the services the Libraries offers to support the long-term preservation of your research data
Get Help
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, email the Research Services and Digital Strategies team or book an appointment using the button below.
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