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Research Data Management

This guide is intended to assist researchers with data management and provide access to data management tools and services.

Are you in the right place?

This guide is intended to assist researchers with data management and provide access to data management tools and services.

If you are looking to find data and/or statistics, try the Data and Statistics guide instead. 

If you are looking for material useful for faculty and students of the Department of Mathematics and Statistics, try the Mathematics & Statistics research guide instead. 

Why create a data management plan?

How to avoid a data management nightmare, by Karen Hanson, Kevin Read & Alisa Surkis, New York University Health Sciences Library. Creative Commons Licence CC-BY (Attribution, reuse allowed)

This 4:40 minute video case study walks through what can go wrong without a plan and standards.


Why do you need a data management plan?

  • To ensure that your data will be accessible and usable in the future - by you and by others.
  • Create and maintain a permanent archive of the data that supports your research findings.
  • To meet publisher and/or funding agency requirements for data availability.

What is in a data management plan?

  • Description of the types of data that will be collected or produced (eg. survey results, lab tests, samples, physical objects, manuscripts, computer log files.
  • Plan for collectingstoring (short & long-term) your data, and backup copies.
  • Standards you will use for your data collection and how you will describe your data (metadata). For example, if you have a team doing field measurements, your data plan will include methods for how your team will record the same measurements. See "How to avoid a data management nightmare" video for an example of how this can go wrong.
  • Policies for sharing, accessing, and re-using your data, including provisions for privacy, confidentiality, security, intellectual property, or other rights or requirements.
  • Methods for archiving and preserving your data.