Translational Research Data Challenges

Our Translational Research Data Challenges initiative provides innovative, digital infrastructure solutions to real-world problems like bushfires and food security.
Translational Research Data Challenges

Collaborating with partners from governments, research institutions and industry, the ARDC is running projects that help address societal problems by removing barriers to the access, analysis and curation of data. Projects are 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 are identified – such as data scale, sensitivity, availability and usability – that currently impede the advancement of solutions to these societal problems. Projects 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.

Collaborative

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

Unique

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.

Enduring

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

Integrative

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

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