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Research Data Management

This guide will assist you to store and manage your research data throughout the research data lifecycle, from planning to publishing!

Research Data Management Lifecycle

University researchers and HDR Candidates need to manage their data throughout the research data lifecycle.

The research data lifecycle is a continuous circle of the following: plan, collect and capture, process, analyse, publish and share, preserve, reuse - then back to plan.

Research Data Lifecycle. Adapted from UK Data Service Model 2017.

Source Queensland University of Technology, Advanced Information Research Skills 


Plan to make data FAIR 

SangyaPundir [CC BY-SA 4.0 (]

SangyaPundir [CC BY-SA 4.0]


The Australian FAIR Policy Statement, supported by ARC, NHMRC and Australian Universities, commits to making all Australian publicly-funded research data as FAIR as possible.

The University Research Data Portal (RDP) is designed to assist our researchers and HDR Candidates make their data FAIR.