Agricultural research data in Australia is currently difficult to find and share, and publicly available datasets (such as remote sensed vegetation data) and cloud compute facilities are not easily accessible by all researchers.

The AgReFed Platform project will improve the discoverability of trusted, reusable and analysis-ready agricultural research data across Australia supporting collaboration and novel insights in research, development and policy.

It will do this through analysis of key use cases to establish the needs of the community, and the subsequent expansion and enhancement of the current AgReFed Platform.

Start date 8 December 2020
Expected completion date 30 June 2023
Investment by ARDC $431,137
Lead node
1 Enhanced AgReFed Platform
Works will enhance the current AgReFed Platform to include the ability to search and discover trusted, reusable agriculture-related datasets, workflows and models.
2 FAIRifed platform metadata
Platforms metadata will be enhanced to improve FAIRness. Data sets will be easier to find, access and use across the sector.
3 Improved Governance for AgReFed
Appropriate governance and consultation/advisory structures helps ensure sector needs will be met through the platform build.

Core features

Infrastructure fit for purpose
Australian agriculture data infrastructure is built around use cases from the community and driven by FAIR data standards
Simple access
Easier access for those without technical expertise to search, discover, access, integrate, analyse and package data, models, and data products in a cloud compute environment.
Cross domain integration of agricultural information
Enabling, for example, users to display data from natural capital and economic activity, for policy and decision making.

Who is this project for?

  • Researchers across disciplines who use a number of agricultural online services,
  • local and federal government,
  • research organisations who have a need for agricultural data,
  • farmers’ organisations,
  • government

What does this project enable?

The ability to search and discover trusted, reusable agriculture-related datasets, workflows and models. This will facilitate data reuse and cross-discipline collaborations for novel research insights and practical applications in policy, reporting and on-ground decision making.

Federation UniversityVisit
University of SydneyVisit
University of Southern QueenslandVisit
QCIFVisit