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Research Data Management: Introduction to Research Data Management

New to the idea of Research Data Management? This guide will introduce you to the basics.

Welcome to Research Data Management Planning

The Tri-Agency Statement of Principles on Digital Data Management and the Draft Tri-Agency Research Data Management Policy highlight the importance of planning for and managing the data created by your research projects. Many academic journals and publishers are now asking for data to be shared as part of the peer-review and publication process - an example of such policies can be found here: Data Sharing Policy for Wiley. The first step to being able to meet these new expectations in scholarly communication is to create a plan to manage the data you create - and this guide is here to help!

Introduction (and Acronyms)

What is Research Data Management (RDM)? RDM refers to the organization, collection, storage, documentation, preservation, and dissemination of research data. A good data management plan (DMP) will cover all sections of the research data life cycle

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Benefits of RDM

Why should you think of data management as an integral part of your research? 

  Proper data management will help you:

  • Find your files
  • Keep track of different versions of your data
  • Organize and compile information at the end of a project
  • Reproduce your work
  • Satisfy grant, journal, and research ethics board requirements
  • Pass your work on to another researcher
  • Share your work



What counts as data

Data can take many forms.  If your research generates:

  • Photographs
  • Audio or video recordings
  • Survey results
  • Computer code

or any observation about the world around you, you are a data creator and will benefit from proper data management.

Subject Librarian

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Susie Wilson

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The information in this guide is based on The UBC Library Guide v.4 (accessed Feb 20, 2017)