Victoria University of Wellington encourages staff and student researchers to develop plans for managing research data early in a research project. This means creating a plan for documenting, storing, securing and preserving research data to ensure efficient access and use of data throughout a research project’s lifecycle, and to enable sharing, citing and publishing of research outcomes. Research data management (RDM) plans apply to research theses, individual and collaborative research projects undertaken within the University and with external researchers and organisations.

You can 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 Library Research Services to arrange an individual consultation.

Research data is collected, observed, recorded or created as part of an original research project and may include third party data (eg Statistics New Zealand datasets). Data may be:

• in the form of facts, observations, images, computer program results, recordings, measurements or experiences on which an argument, theory, test or hypothesis, or another research output is based.
• numerical, descriptive, visual or tactile. It may be raw, cleaned or processed, and may be held in any format or media. Provenance information about the data might also be included: how, when, where it was collected and with what. 
• digital, textual, multimedia formats including software, survey data, experimental data, observational data, simulated data, and data derived or compiled, often from different sources
• anything produced as part of a research project: lab notebooks, models, algorithms, specimens, questionnaires, recorded interviews, transcripts, fieldwork notes, diaries, spreadsheets, text documents, qualitative/tabular data (e.g. SPSS or SAS files), photographs, films and slides, digital objects, applications, correspondence, audio and visual recordings
• whakapapa, whakairo (carving), raranga (weaving), waiata (songs), karakia (incantations), pūrākau (stories). 

Management of research data is important to ensure that data used, created or produced in your research is organised so it is securely stored and accessible by other researchers you may collaborate with. Some international research funding agencies and publishers require the use of Research Data Management Plans.

The FAIR data principles - Findable, Accessible, Interoperable, and Re-usable, and the CARE Principles - Collective Benefit, Authority to Control, Responsibility, and Ethics, are useful to guide thinking and planning around the management of research data.

A Research Data Management Plan documents:

• types of data to be created and how 
• metadata to describe the data
• plans for storage
• legal and ethical considerations
• plans for publishing, sharing and preservation of data
• roles and responsibilities for all aspects of data management.

Developing a plan requires you to consider and make decisions about these issues before beginning a research project.

Benefits of a research data management plan include:

• security of data and your research through reducing the risk of loss
• efficiency of research by managing versions and enabling discovery of your data
• enabling you to share data securely with collaborators and other interested researchers
• compliance with university, funder and publisher requirements
• avoiding ethical or cultural transgressions.