Translational Research Data Challenges

Our Translational Research Data Challenges initiative provides innovative, digital infrastructure solutions to real-world problems like bushfires and food security.
Farmer and researcher analysing corn plant
Who will benefit
Researchers, policy makers, industry, public sector, research organisations and institutions

Collaborating with partners from governments, research institutions and industry, the ARDC will develop projects that help address societal problems by removing barriers to the access, analysis and curation of data. Projects will be problem based, national scale, collaborative, unique, enduring and integrative across technological, cultural and organisational silos.

The Translational Research Data Challenges approach starts with a pressing societal problem, such as disaster resilience, crop yields or obesity. Through stakeholder consultations, key data challenges will be identified – such as data scale, sensitivity, availability and usability – that currently impede the advancement of solutions to these societal problems. Projects will focus on the development of digital infrastructure solutions, drawing on capabilities such as quality data collections and analytic platforms, underpinning compute and storage, informatics and data science expertise, as well as relevant governance and policy frameworks.

Project Characteristics

Translational Research Data Challenges projects are:

Problem based

Generate specific target outcomes aligned with societal challenges and the ARDC’s objective to transform research through better data and tools.

National scale

Deliver high-impact solutions that contribute to the development of a nationally coherent eResearch infrastructure environment.


Build significant collaborative partnerships with stakeholders from governments, universities, publicly funded research agencies and industry to drive interoperability and share best practices.


Fill strategic gaps in the research and operational environment, complement existing national initiatives, and focus on areas where leading edge digital capability can make a unique contribution.


Contribute to the long-term enhancement of translational research through the implementation of sustainable infrastructure.


Create holistic solutions by bringing together diverse data, tools, research, operations, domains, disciplines, jurisdictions and sectors.

Bushfire Data Challenges

The recent drought, bushfire and pandemic disasters presented enormous challenges for Australia. They highlighted the need for systemic information infrastructure to contribute to the analysis, response and management of such crises, as well as to monitor the long-term impacts.

In response to this acute demand, the ARDC identified ‘Disaster Resilience and Risk Reduction’ as the focus for a Translational Research Data Challenge, with an initial focus on the impact area of ‘Bushfires’.

Bushfire Data Challenges

Food Security Data Challenges

Long-term strategies are needed to ensure Australia has a resilient and sustainable food industry that maintains its reputation in delivering high quality food nationally and internationally. The food industry is a strong contributor to the Australian economy.

To enhance research into food production, supply, consumption and waste, the ARDC launched the Food Security Data Challenges. The program will address the challenge of sustainable development, with an initial focus on food security.

Food Security Data Challenges

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