12 results
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PROJECT NUMBER • 2022-141
PROJECT STATUS:
COMPLETED

SIA early mover micro project - integrated wave energy microgrid design

Aquaculture operators are predominately reliant on diesel generation for their ocean-based operations, while shore-based facilities like hatchery production and processing use grid supply electricity, typically with diesel backup power. The growing pressures on the industry necessitates a transition...
ORGANISATION:
Climate KIC Australia (for Australian Ocean Energy Group)
Industry
PROJECT NUMBER • 2022-019
PROJECT STATUS:
CURRENT

Removal of microalgae and total nitrogen in effluent water from prawn farms using electrocoagulation (EC) water treatment technology

This project focused on addressing a key challenge of the Australian prawn industry: the reduction/removal of nitrogen (N) and the coagulation of suspended solids (including microalgae) to facilitate the expansion of the industry whilst continuing to meet these sustainability targets. The...
ORGANISATION:
Nautilus Collaboration Pty Ltd

ARDC: Food Security Data Challenges: Increasing food security through liberation of fishing and aquaculture data

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

Need

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).

Objectives

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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PROJECT NUMBER • 2018-197
PROJECT STATUS:
COMPLETED

Developing FRDC’s 2020-2025 RD&E Plan

This report covers the second of two CSIRO contributions to the project FRDC 2018-197. This project was reviewing FRDC research objectives through a process that developed alternative scenarios of possible futures relevant to Australian fisheries. Discussed here is the development of a...
ORGANISATION:
Fisheries Research and Development Corporation (FRDC)
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Industry

Data management and governance framework development for fishing and aquaculture

Project number: 2021-088
Project Status:
Completed
Budget expenditure: $50,000.00
Principal Investigator: Andrew Skinner
Organisation: More Than Machines Pty Ltd (MTM)
Project start/end date: 31 Oct 2021 - 30 Dec 2021
Contact:
FRDC

Need

FRDC requires mechanisms to assess and govern the data for which it is custodian or may become custodian of. FRDC requires a data governance framework that builds on the concepts of the NFF Farm Data Code and other Agricultural data best practices for use by FRDC data stakeholders. A data governance framework will ensure that FRDC BAU and project data is captured, managed and distributed with accountability, consistency, security and meets defined standards throughout the data lifecycle. As a coordinating industry body, it is essential that FRDC leads the way with a robust, considered approach to data management. This will place FRDC as a best practice example, it will enable consistent discussion and guidance to stakeholders and data partners and will provide a consistent foundation for overall trust and capability in the use of data as well as providing a foundation for the FRDC to maximise the value of data created through the Australian innovation system. It is expected that subsets of the FRDC data governance framework will be developed in the future to extend support to FRDC stakeholderss.

Objectives

1. Development of a Data Governance Framework for use by FRDC and for FRDC to use to provide data governance advice and support to stakeholders
2. Identification of the processes, roles and policies required to ensure data quality, management and security
3. A documented FRDC data lifecycle
4. A documented approach to monitoring and review of the framework
5. Recommendations for training opportunities for future FRDC investment
6. 1-2 Written use cases to support the framework and aid adoption