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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.

Welcome

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 data
  • simulations generated from test models 
  • derivations or compilations e.g. 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?

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.

Research Data Management covers the planning, collecting, organising, managing, storage, security, backing up, preserving, and sharing your data.  It ensures that research data are managed according to legal, statutory, ethical and funding body requirements. 

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.

This guide provides the information and tools you need to effectively and efficiently manage your research data at every stage of the data lifecycle.

Templates

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

Toolkit