NLIS Database Uplift Project

NLIS Database Uplift Project

28 February 2024
FMD & LSD

 

The NLIS Database Uplift Project will ensure Australia has a fit-for-purpose and user-friendly traceability platform which offers flexibility and scalability to track all livestock movements.

In an era of growing consumer demands and heightened awareness surrounding biosecurity, market access, food safety and animal welfare, the need for a robust and agile livestock traceability system has never been greater.

A highly collaborative approach will be taken with the development of the new platform.

The new NLIS database will offer a more streamlined user experience. It will integrate with the eNVD livestock consignment system ensuring a simpler process for producers and other users. The new system will also be able to handle the increased volume of data inputs expected following the introduction of compulsory sheep and goat electronic identification from 1 January 2025.

Beyond this, it will have the agility and flexibility to respond to any new traceability requirements that may emerge.

This significant project is being supported by a $22.5 million funding grant which was announced by Australia’s Department of Agriculture, Fisheries and Forestry on September 15, 2023. This funding forms part of the Australian Government’s ‘Bolstering Australia’s biosecurity system’ package.

Integrity Systems Company media release: Read more

Minister for Agriculture, Fisheries and Forestry Murray Watt’s statement: Read more


Project objectives

The new NLIS will be a fit for purpose data capture, storage and distribution platform for lifetime livestock traceability and will:

  • Improve overall livestock traceability
  • Optimise data flow
  • Be intuitive and user-friendly and offer a seamless user experience
  • Use a modern cloud-based platform with near real-time data
  • Integrate with contemporary and legacy systems for improved efficiency and streamlined data exchange
  • Provide mechanisms to ensure increased data integrity and accuracy
  • Be scalable and flexible to enable future integration
  • Improve reporting capability and analytics.
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