Research Data Management

Data Management for researchers at CQUniversity.

Research data - what is it?

Research data means facts, observations or experiences on which an argument, theory or test is based. Data may be numerical, descriptive, visual, raw, analysed, experimental, or observational.

Some examples of research data include:

laboratory notebooks
field notebooks
primary research data (including research data in hardcopy or in computer readable form)
questionnaires
audiotapes
videotapes
models
photographs
films
test responses

Want to know more? Take a look at the Australian National Data Service (ANDS) page: What is research data?

Documentation of data management, including ownership, ethics, retention and disposal design is required under the Australian Code for the Responsible Conduct of Research 2018 and is a requirement for ARC and NHMRC funding.

Supplementary material to the Code: Guide to Managing and Investigating Potential Breaches of the Australian Code for the Responsible Conduct of Research, 2018.

Research Data Management Lifecycle

Research Data Management is essential at all stages within the Research Data LifeCyle. A Data Management Plan will assist you to identify how you are going to capture; format; organise; store; share; reuse; and examine long-term preservation options throughout the various stages of a research project. The Digital Curation Centre's DCC Curation Lifecycle Model is one example.

Managing Research Data

This short documentary DDC: Managing research data produced by Piers Video Production, offers a unique insight into the importance of providing access to research data and the risks of not managing data effectively.