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Developing automated data cleansing and validation processes for fisheries catch and effort data

The industry has identified the need for automated data cleansing and diagnostic procedures that can be applied to large fisheries databases to detect and identify errors and provide subsets of reliable catch and effort data for stock assessments and other analyses.

This project will develop automated processes to routinely assess newly entered fisheries catch, retrospectively quantify error rates in existing data and assess their likely influence on the outputs of stock assessment analyses.

Project date

21 Dec 2017-29 Jun 2020
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Principal investigator

Karina C. Hall

Project funded by

Multiple industries
Aquaculture Wild catch fisheries

Fisheries Research and Development Corporation (FRDC)

The Fisheries Research and Development Corporation (FRDC) is a co-funded partnership between its two stakeholders, the Australian Government and the …
  • Location

    Australia

  • Organisation type

    Research funding body

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