Research data management

University Research Fund applications

The Victoria University of Wellington Research Fund (URF) application form requires researchers to provide details of how data produced during and resulting from proposed projects will be managed. Key considerations and possible statements are provided in the sections below, with links to further information in this guide. Should you wish, you may copy details that are relevant to your research project into your URF application.

You can also download the Victoria University of Wellington Research Data Management Plan (DMP) Checklist below and enter your plan details. You can update and add to the plan as a living document throughout your research.

Library staff are available to help you with this. Please contact Aubrey Kirkpatrick (Research Services Librarian) to arrange an individual consultation.

Will you be collecting your own data and/or reusing data that already exists? You will want to consider and include all potential types of data that are likely to be collected, including qualitative, quantitative, archival records, or recordings. 

More options and information are available in What is research data?

The types of data I will collect and/or reuse include:

  • observations
  • surveys
  • interviews
  • photographs
  • images
  • computer program results
  • measurements
  • analysed data
  • other (provide details)

Where will you store and back up your data during the research?

For more information and storage options, see Store and secure data. Contact the ITS Learning and Research Technology Team for advice and training.

During my research I plan to store my data using, eg:

During my research I will provide other researchers access to my stored data via, eg:

How do you plan to protect sensitive or commercial research data?

For more information, see Publish & share and Legal & ethical.

I will protect data (sensitive, private or with high intellectual property value) collected and created during research by, eg:

  • using secure storage that is backed up regularly;

  • implementing password access to data;

  • controlling access to files and folders;

  • anonymising personal or private data;

  • separating participant names from survey or interview data;

  • encrypting data containing personal information before storage or transmission;

  • other (provide details).

Have you considered what will happen to your data at the conclusion of this project? How do you plan to preserve or archive research data long-term to meet funder or institutional requirements or for reuse?

For more information, see Preserve

My long term preservation plan will include:

  • repository or archive details;

  • length of time to retain data beyond the life of the project;

  • estimated costs;

  • file formats and future use; 

  • copyright, access and reuse;

  • other (provide details).

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