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Research data management: Get started

Research data management covers the planning, collecting, organising, managing, storage, security, backing up, preserving, and sharing your data.


This guide provides information about managing research data. It is intended for staff and students at the University of Queensland.

What is research data?

Research data are generated for different purposes and through a range of processes. It can include but is not limited to:

  • experimental or laboratory produced data
  • simulations generated from test models eg climate, mathematical or economic models
  • derivations or compilations for example text and data mining, databases, 3D models
  • collections of peer reviewed datasets published eg chemical structures, gene sequence databanks, or literary research
  • published research results including tables underpinning the published work.

Data vs Statistics

For more information on finding research data or statistics have a look at our finding Research Data guide.

What is research data management?

Effective research data management is a cornerstone of the responsible conduct of research.

It ensures that research data are managed according to legal, statutory, ethical and funding body requirements. Research Data Management covers the planning, collecting, organising, managing, storage, security, backing up, preserving, and sharing your data.  Research data represents significant value to researchers and the University of Queensland, and good stewardship of research data is necessary to validate the outcomes of research, and maintain the integrity of research results.

Sound data management procedures can:

  • Increase the efficiency of research
  • Help guarantee the quality and authenticity of data
  • Enable the exposure of research outcomes through collaboration and dissemination
  • Provide for the reproducibility of experimental and computational outcomes
  • Facilitate the validation and verification of results.

Research Data Management applies at all stages of the data lifecycle. This guide provides the information and tools you need to effectively and efficiently manage your research data.

Research data life cycle

Managing research data

Online Data Management Planning Tool

Use this tool to write, save, share, and manage your Data Management Plans.  User Guide


Use the following templates and checklists are to prepare simple Data Management Plans.