Research data management overview

Within the University, research data are defined as the evidence that
underpins the answer to a research question and can be used to validate
findings regardless of their form (e.g. print, digital, or physical).

While research data differ across disciplines and are unique to each project, a set of general principles and best practices can be applied to guide their management.

Research data management (RDM) is the process of planning and undertaking the collection, organisation, management, storage, backup, preservation, and sharing of data before, during, and after the research project.

Good research data management helps you to:

• Understand the requirements, complexities, and policies which apply to your research project
• Maintain the integrity of your research process and ensure your outputs are verifiable
• Store your research data securely, and publish or share it when you're ready
• Maximise the visibility and impact of your work and ensure you receive recognition for your outputs

The Centre for eResearch offers in-person and online consultations free of charge to researchers (including postgraduate students and their supervisors) who need advice or customised solutions to manage their research data.

A number of University policies impact research data management, and in particular, the Research Data Management Policy applies to all staff, students, supervisors, and other members of the University community who are involved in the management of research data. It outlines responsibilities relating to planning, storing, governing, publishing, retaining, and disposing of research data appropriately. See Research Data Managment Policy guidance for how to apply the policy.

Research Data Support Services
Email: researchdata@auckland.ac.nz

Laura Armstrong
eResearch Engagement Lead
Email: Laura Armstrong