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Research Data Management: About RDM

"Research data means data 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.  Data may be numerical, descriptive, visual or tactile.  It may be raw, cleaned or processed, and may be held in any format or media."  -- QUT Management of research data policy

Research data can include:

  • Numerical data: instrument measurements, survey responses.
  • Documentation: publications, experimental methods, field notes, analytical methods, technical reports, dataset descriptions.
  • Digital images: photographs, diagrams, graphs.
  • Digital audio: audio data, interviews, wildlife recordings, language recordings.
  • Digital video: high-speed recordings, interviews.
  • Configuration data: Configuration and optimization settings for simulation and experimentation.

By managing your data you will:

  • ​Increase your research efficiency
  • Ensure research integrity and replication
  • Prevent duplication of effort by enabling others to use your data
  • Enhance data security, minimize the risk of data loss or corruption, and privacy or copyright breaches
  • Comply with practices conducted in industry and commerce
  • Meet funding body grant requirements
  • Ensure research data and records are accurate, complete, authentic and reliable
  • Increasing your research profile and potentially find new audiences and collaborators through dissemination, citation and re-use of data
  • Save time if the data is better organised and easier to find

Video:  'Sharing data: good for science, good for you' / Data Archiving and Networked Services (DANS)

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Research Support Coordinator

Ann Chen
Contact:
achen@aut.ac.nz
09 921 9999 ext. 8573
City Campus Library, WA Building