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Research Data Management at Charles Sturt: Overview

What is Research Data Managemant?

Research Data Management (RDM) is the collection, organisation, preservation and sharing of research data.

Work through the steps of the Research Data Lifecycle to learn data management best practice.

 Top tip: RDM is about organising and documenting all your data as you undertake your research project.

RDM 101


What are Research Data?


Any information created, collected or obtained in the course of a research project that underpins your research output


Examples of Research Data


Lab books, field notes and observations, questionnaires, focus groups and surveys, sound and video recordings, photographs, models, computer code, software...


Why manage Research Data?


It is essential to the integrity of your research, saves time, helps prevent errors and data losses.

It is a requirement under the Australian Code for the Responsible Conduct of Research.

Research Data Lifecylce

Important Policies, frameworks and guidelines

As a researcher at Charles Sturt, it is important to be familiar with the RDM Policy to understand your responsibilities for data management and data disposal.

The Australian Code for the Responsible Conduct of Research is an important framework to be aware of. Major research funders such as the National Health and Medical Research Council also have guidance on managing research data: Management of Data and Information in Research: A guide supporting the Australian Code for the Responsible Conduct of Research.

Charles Sturt University acknowledges the traditional custodians of the lands on which its campuses are located, paying respect to Elders, both past and present, and extend that respect to all First Nations Peoples.Acknowledgement of Country

Charles Sturt University is an Australian University, TEQSA Provider Identification: PRV12018. CRICOS Provider: 00005F.