Manage your research data
Understand the importance of managing your data, learn practical steps to organise and safeguard it, and make it accessible for future research.
Good research data management (RDM) helps you organise, store, document, and preserve your research data throughout its lifecycle to ensure it remains accurate, accessible and reusable for future research.
Why use good RDM
Store and manage your data to protect your data from loss, corruption, or unauthorised changes throughout its lifecycle.
Meet institutional, funder, and legal requirements for data handling and sharing.
Your research must comply with The Australian Code for the Responsible Conduct of Research: Management of Data and Information in Research and the University’s Research Data Management Procedure.
Many journal publishers now require research data to be made available at publication, or a Data Availability Statement (or Data Access Statement) outlining how others can access your data.
Well-structured data means less time cleaning and fixing errors, making it easier for machines to organize, analyse and retrieve data for future use.
Well-documented datasets make sharing between team members and external partners simple, reducing misunderstandings and duplication. Clear documentation also increases research impact and recognition by making your work more discoverable, citable, and reusable, strengthening collaboration and visibility across disciplines.
Good data management practices supports transparency and allows others to validate and build on your research.
Start applying good RDM
Need help?
Go to our Research Data Management guide to learn how to collect, store, process and share your data at every stage of the research lifecycle.
If you have questions or want personalised support, book an appointment or check the Research Training and Development calendar for upcoming events. We’re here to help you manage your research data with confidence.