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SEFS Graduate Research Skills

A module for all SEFS graduate students to support and develop their research skills and self-test

Research Data Management

Learning objectives:

  • To understand what Research Data Management is
  • To understand how to manage Research Data
  • To understand how to get more help with Research Data
  • To be aware of University and national Research Data initiatives

Good research data management practice enables researchers to conduct their research more efficiently, offers greater opportunities for sharing and reusing the research data and allows for better management of research resources.

Research data are core assets.

Good research data management will keep your data safe as well as:

  • accurate, complete, authentic and reliable
  • identifiable, retrievable and available when needed
  • secure
  • compliant with legal and ethical requirements
  • ready to  share with the broader research community
  • increasing potential exposure and citations


Doing Data Better at the University provides guides and a checklist to help Researchers manage their data.

The Research Data Management Checklist helps you document information about research data and records from your research project/activity.

The best time to start planning is when you first start thinking about what data your project will generate/use. But you can also collect it at a later stage of the project or at its conclusion.

Work through the checklist with your research collaborators (including your supervisor where appropriate). This builds a shared knowledge base of the data management processes throughout your project.

The Research Data Management checklist:


The Australian National Data Service is leading the way in storing, sharing and reusing research Data.

'Research is producing larger and more complex data than ever before. It is imperative that these data outputs are effectively managed and shared.

Better data – better described, more connected, more integrated and organised, more accessible, more easily used for new purposes – allows new questions to be answered, larger issues to be investigated, and data landscapes to be explored.' (ANDS, 2017)


Research Data can also be stored on sites such as Figshare, where it can be retrieved by systems like ORCiD and cited. This can add to the researchers output and extend the use of the data.

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