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: