This older version of the guide is no longer being updated, and will be removed on August 16 2024.
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Any facts, observations or experiences that you base your research hypothesis on are research data. Data may be numerical, descriptive, visual, tactile, experimental, observational, raw or analysed, .
Some examples of research data include:
Want to know more? Take a look at the Australian National Data Service (ANDS) page: What is research data?
Professional bodies, institutions and funding organisations follow the Australian Code for the Responsible Conduct of Research in order to maintain confidentiality of research data and primary materials by protecting the data from unauthorised access and use.
Ethical treatment of data applies to:
See the Policies and guidelines page for links to individual policies and guidelines.
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.
Image from Digital Curation Centre, Curation Lifecycle Model available under CC-BY 4.0 License
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.
eResearch @ CQUniversity: