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Climate Change

Research Data Management

What is Research Data Management? 

"Research Data Management, or RDM, is the responsible stewardship of the data created or generated as part of a research project. It involves the responsible storage, description, and protection of research data, and should be an integral early part of any research project." Research Data Management, UWinnipeg.

Why is Research Data Management important? 

  • Funders and journal publishers are increasingly making RDM a priority and a requirement. See the Tri-Agency DRAFT Research Data Management Policy here
  • Reduce the risk of data loss 
  • Increase research efficiency and integrity
  • Make your research more visible
  • Enable collaboration.
How should I begin?  
With a Data Management Plan! Try Portage Network's easy-to-use data management planning tool:
For more information on RDM planningcollecting and sharing visit UWinnipeg's RDM website.

RDM Resources: Environmental Studies and Sciences

RDM Resources: Environmental Studies and Sciences

Metadata Standards 

Metadata (data that describes your project and dataset) is essential for making your data discoverable and usable by others, upon deposit. 
To find an appropriate metadata standard visit:
Data Citation
Visit to learn more about DataCite's Metadata Schema, "...a list of core metadata properties chosen for an accurate and consistent identification of a resource for citation and retrieval purposes, along with recommended use instructions." 
Data Curation
The Data Curation Network's Data Curation Primers are interactive, living documents that detail a specific subject, disciplinary area or curation task and that can be used as a reference to curate research data. 
Data Deposit and Discovery 
For more information on RDM planningcollecting and sharing visit UWinnipeg's RDM website.

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