331 results
Industry
PROJECT NUMBER • 2020-126
PROJECT STATUS:
COMPLETED

Australian Agrifood Data Exchange (OzAg Data Exchange): Deliver an interconnected data highway for Australia's AgriFood value chain - Proof of concept

Pain point: The delay in exchange and reconciliation of catch data by fishers and processors means that there is a delay in quota accounting which impacts planning due to lack of timely information. Furthermore, with no access to pre-fishing information data to the processors means they are unable...
ORGANISATION:
Meat and Livestock Australia (MLA)
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
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Industry

Building a data-driven jurisdictional stock status reporting platform

Project number: 2017-216
Project Status:
Completed
Budget expenditure: $143,401.48
Principal Investigator: Kyaw Kyaw Soe Hlaing
Organisation: Fisheries Research and Development Corporation (FRDC)
Project start/end date: 4 Mar 2018 - 17 Jan 2019
Contact:
FRDC

Need

Currently reporting processes are highly manual with exchange of documents between authors and reviewers as well as copy-editing/formatting administered by the FRDC. Automation of reports would remove these manual inefficiencies freeing up the time of FRDC, authors and reviewers alike, enabling them to focus more on the research and less on the reporting commitments of SAFS. Automation of reporting could also disrupt the current biannual timeline currently applied to SAFS. With automated reporting, jurisdictions do not require FRDC administration of the authoring process and would be able to update reports on timelines that align with other jurisdictional commitments (i.e. the production of their own status reports) - this will also enable a more timely update should stock status change. More so, jurisdictions currently undertake SAFS reporting in addition to their own jurisdictional reporting, as they are often required to report on broader issues that are consider too 'bespoke' to be considered in a national report. Automation of reports, enables jurisdictions to produce reports that align with SAFS as well as their own jurisdictional requirements in one system, streamlining the concurrent reporting processes into one reporting process. This works by ensuring that a the system is built to support reporting of fields critical for SAFS as well as fields necessary for the relevant jurisdictional reporting (FRDC then generate the SAFS reports pulling fields only relevant to SAFS whilst the jurisdictions can report more broadly by publishing the fields they require - acknowledging that bespoke jurisdictional reports would still be subject to the same rigorous peer review process of the SAFS report to ensure integrity of the reports)

Objectives

1. Create a platform for jurisdictional data driven stock status reports
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PROJECT NUMBER • 2018-026
PROJECT STATUS:
COMPLETED

e-fish - An Integrated Data Capture and Sharing Project

The e-fish project provides an in-depth analysis of the challenges currently experienced by fisheries agencies in data integration and sharing. The project, led by the Australian Fisheries Management Authority (AFMA) in consultation with Australia’s State and NT fisheries jurisdictions,...
ORGANISATION:
Australian Fisheries Management Authority (AFMA)
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