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Research Data Management

This guide is intended to help researchers (faculty, staff and students) find resources and tools for Research Data Management (RDM): understanding the process of managing data, writing a data management pan (DMP), and meeting funding requirements.

In this Guide

This guide will help you manage your research data, plan for the various stages of your research project and prepare data management plans, as increasingly required by many funding agencies.

  • FAQs
  • Writing a Data Management Plan
  • Depositing your Data
  • Learn about RDM

UVic Library is committed to supporting you in your research. We offer support for writing data management plans, depositing data in Dataverse (UVic's data repository), RDM workshops, training and consultation. Contact us with your questions. We are happy to help!

Why Data Management?

Good data management helps you:

  • Meet funding agency requirements.
  • Ensure that your data is complete, documented, and accessible to you and to future researchers.
  • Raise the profile of your research.  

Even if one is not required by your funding agency, developing a research data management plan (DMP) at the beginning of a new project will inform good practice throughout the data cycle. A good plan prevents data loss, keeps data secure, facilitates collaboration, preserves the integrity of your research.

Data Sharing and Management Snafu

A data management horror story by Karen Hanson, Alisa Surkis and Karen Yacobucci.

Tri-Agency Statement of Principles on Research Data Management

Canada’s three federal research granting agencies—the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), and SSHRC— have issued the Tri-Agency Statement of Principles on Research Data Management. The statement outlines "overarching expectations regarding research data management, and the responsibilities of researchers, research communities, research institutions and research funders in meeting these expectations."

The Tri-Agency Principles promote excellence in data management practices and guide researchers and research institutions in "adhering to the agencies’ current and future research data management requirements."