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Research Data Management

RDM, Research Data Management, DMP, Data Management Plans

The Changing Culture of Research Data Management - Recent National & International Initiatives

This guide is intended to support researchers who want to effectively manage their data. It is equally important for researchers to understand new requirements from grant funding agencies for managing research data and the research data life-cycle. 

UVic Libraries can help researchers with data management. For guidance in writing a data management plan or with data curation, please contact your subject specialist. Or contact Kathleen (see contact info on this page).

Why Create a Data Management Plan?

Why do you need a research data management plan?

  • Many funding agencies require data management plans to ensure future access to grant supported research data.
  • Ensure that your data will be accessible and usable in the future.
  • Create and maintain a permanent archive of the data that supports your research findings.
  • Provide enhanced access to your publications.

What is in a research data management plan?

  • Description of types of data, samples, and physical collections you will be creating.
  • Standards you will use for your data and the metadata that will describe it.
  • Policies for sharing, accessing, and re-using your data.
  • Methods for archiving and preserving your data.

In short, managing your research data will help you: 

  • Meet grant requirements and/or produce a more competitive grant application
  • Increase the impact and visibility of your research
  • Encourage the discovery and use of existing data to explore new research questions
  • Better guarantee your data are accurate, complete, authentic, and reliable
  • Ensure long-term preservation of data for future researchers
  • Ensure compliance with ethics and privacy policies


Lifecycle of Digital Research Data

While there are many ways of looking at the data life cycle, this particular image emphasizes the repurposing and re-use of data, which is a driving force behind the success of data intensive science and the reason why data management has been deemed so important.

Source: Humphrey, Charles. (2006). “e-Science and the life cycle of research.” Retrieved 23 January 2011 from

Data Sharing and Management Snafu

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

Canadian Initiatives in Research Data Management

DataQ A collaborative platform for answering research data questions in academic libraries

Selected Background Reading