Project number: 2022-176
Project Status:
Budget expenditure: $1,000,000.00
Principal Investigator: Andrew Skinner
Organisation: Australian Research Data Commons (ARDC)
Project start/end date: 19 Mar 2023 - 28 Jun 2025


The development of digital and data systems (DSS) across fisheries & aquaculture, as well as the agriculture sector more broadly is disparate. How data is collected, how it is stored, and how it can subsequently be used is greatly influenced by factors such as sector digital maturity, or available funding to develop (or upgrade) DSS.

This project seeks to develop a national fisheries and aquaculture data ingestion and storage system (Activity 1), ensuring that information derived from fisheries and aquaculture activities is findable, accessible, interoperable and reusable (FAIR).
The ingestion and storage system will be bolstered by a complementary data catalogue (detailing the data sets available on the platform) (Activity 2) and analytical tools (able to gain insights without moving data outside the storage platform) (Activity 6).
The platform will be underpinned by metadata (Activity 3) and a robust governance framework (Activity 4). Use of the system will be tested through 3 case studies, supporting capacity and capability improvement of the sector (Activity 5).

The production of and use of data cuts across industry and government, and covers activities throughout the fisheries supply chain (from pre-fishing quota management, to post-fishing processing and subsequent traceability). Consequently there is no one organisation across fishing and aquaculture that is best placed to co-ordinate and trial this technology. FRDC is capable to the leadership required to ensure a fit for purpose product for end users, additionally the leverage of Australia Research Data Commons investment will contribute to the development of a nationally coherent eResearch infrastructure

This project received investment from the Australian Research Data Commons (ARDC). The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS).


1. Develop a new cloud-based fisheries data storage platform to enable ingestion, management, and sharing of datasets
2. Develop a CKAN-based data catalogue, a searchable fisheries data source allowing users to browse, combine, share, and access exchangeable data assets
3. Create best practice metadata standards that will be identified, documented, and then operationalised through the data catalogue and storage platform
4. Develop and operationalise a fisheries-focused data governance framework
5. Enhance capacity and capacity to use the platform through demonstration of 3 unique case studies
6. Develop use-case relevant suite of reporting and analysis tools to allow researchers to gain insights without moving data outside the storage platform

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