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Research Data Management (RDM) - Nipissing University

Creative Commons License

Creative Commons License 

This Research Data Management (RDM) - Nipissing University guide created by Rebecca Kasperavicius and Nipissing University's Office of Graduate Studies & Research is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Create a DMP

If you’re new to preparing a DMP, we encourage you to use the DMP Assistant, a free tool from the Digital Research Alliance of Canada (DRAC) designed for Canadian researchers. The DMP Assistant will lead you through a series of questions in order to develop a DMP for your project.

The resulting plan will take the shape of your answers to a set of questions, similar to the following (courtesy of DRAC’s Primer - Data Management Plan).

Data collection:

  • Describe the data that you will be collecting, including the type, format, and volume.
  • Describe how you will be collecting your data.
  • Establish standards for naming and organizing data files, folders, and versions.

Documentation and metadata (description of data):

  • Describe how you will ensure that your data are understandable, interpretable, and usable both by current and future researchers.
  • Provide descriptive information for your data to be discoverable once deposited at the end of your project.

Storage and backup:

  • Describe storage methods and backup procedures for the expected data volume to ensure data security and integrity, and to avoid data loss during the active phase of your research.
  • Describe how collaborators will access and work with the data.

Preservation for long term access:

  • Decide which data to keep and for how long.
  • Address any obligations to retain or destroy certain data.
  • Describe the resources required to preserve the data for long-term access.

Sharing and reuse:

  • Describe where and how data will be shared (if permissible).
  • Decide in what form (raw, processed, analyzed, final) data will be shared.
  • Select options for sharing agreements or data licenses for reuse.

Responsibilities and resources:

  • Identify who will be responsible for each data management task.
  • Consider resources and costs required both during and after the project.

Ethical and legal compliance:

  • State how you will store, share, and preserve data in a way that ensures ethical and legal requirements are met.