Data

IND412 - Healthcheck: Safety at sea

University of Tasmania, Australia
Hobday, Alistair ; Ogier, Emily
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
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Step 2: Calculate and report the annual average number of incidents for the fishery using the number of incidents identified per year in the past 5 years. 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(2025) Healthcheck Sustainability Indicator Reporting for Australian Fisheries. CSIRO. Data accessed from https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/570c389c-6c00-4edf-8aed-8c49a5b4547d on [access date]&rft_rights=Please also cite the associated project report: Hobday, A., Ogier, E., Thomas, L., Spanou, E., Walsh, P., Fleming, A., Jumppanen, P., Hartog, J., Flukes, E., Bustamante, R., Deng, R., Rochester, W., Kenyon, R. (2026) Healthcheck3 - Activating a comprehensive ESG reporting data system to uplift sustainability traceability. Prepared for the Fisheries Research and Development Corporation (FRDC project 2023/024) and Department of Agriculture, Fisheries and Forestry, Australian Government (National Agricultural Traceability Grants Program (Grant ID 4-IMHI4L3). CSIRO, Hobart, Australia.&rft_subject=economy&rft_subject=society&rft_subject=farming&rft_subject=environment&rft_subject=Social&rft_subject=Fishery Participants&rft_subject=FISHERIES&rft.type=dataset&rft.language=English Access the data
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Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0/

Cite data as: Hobday, A. & Ogier, E. (2025) Healthcheck Sustainability Indicator Reporting for Australian Fisheries. CSIRO. Data accessed from https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/570c389c-6c00-4edf-8aed-8c49a5b4547d on [access date]

Please also cite the associated project report: Hobday, A., Ogier, E., Thomas, L., Spanou, E., Walsh, P., Fleming, A., Jumppanen, P., Hartog, J., Flukes, E., Bustamante, R., Deng, R., Rochester, W., Kenyon, R. (2026) Healthcheck3 - Activating a comprehensive ESG reporting data system to uplift sustainability traceability. Prepared for the Fisheries Research and Development Corporation (FRDC project 2023/024) and Department of Agriculture, Fisheries and Forestry, Australian Government (National Agricultural Traceability Grants Program (Grant ID 4-IMHI4L3). CSIRO, Hobart, Australia.

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Full description

Metric: Average annual number of reportable safety incidents for the fishery in the past 5 years.

Measures how many workplace safety incidents for persons on board a vessel (crew, skippers and/or passengers) are formally reported each year.

Lineage

Maintenance and Update Frequency: quarterly
Statement: Step 1: Search for reported safety incidents involving injury or death in the past 5 years: - In the following database: https://www.atsb.gov.au/occurrence-briefs - Using a general search with the fishery name to identify any reported incidents If no data are available for the fishery in the past 5 years, report "Data not found" and the year of data collection for the framework. Step 2: Calculate and report the annual average number of incidents for the fishery using the number of incidents identified per year in the past 5 years. Report the year of data collection for the framework.

Notes

Credit
The continuation of Australian Fisheries Healthcheck has been supported by the Fisheries Research and Development Corporation (FRDC) on behalf of the Australian Government (Project 2023-024) and the DAFF Ag Traceability Uplift – Responsible fisheries – Activating a comprehensive Ecological, Social, and Governance (ESG) reporting data system to uplift sustainability traceability. The project ran from 2023-2026.

Issued: 03 07 2026

Data time period: 2025-01-01

This dataset is part of a larger collection

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Subjects
FISHERIES | Fishery Participants | Social | economy | environment | farming | society |

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Other Information
(Data for IND412 - Safety at sea)

url : https://geoserver.imas.utas.edu.au/geoserver/imas/ows?service=WFS&version=1.0.0&request=GetFeature&typeName=HealthCheck3&outputFormat=csv&CQL_FILTER=ID='4.1.2'

global : 570c389c-6c00-4edf-8aed-8c49a5b4547d

local : 05bgxxb69

local : 0000-0002-3194-8326

local : 00arpt780

local : 0000-0001-6157-5279

local : 03qn8fb07

Identifiers
  • global : 8d75d6bb-86d2-4b1c-a9d3-addc6f6817cf
ACN 633 798 857