Sandstone cliffs alongside the King George River in the Kimberley

Sandstone cliffs alongside the King George River / photo by L. Gibson

Information Management Node


Create a collaborative environment, including a web-based data platform, where biodiversity information is collected once, made openly accessible and able to be used for multiple applications.

We are driven by end-user outcomes including:

  • Ability to access online data that is secure and of known quality and origin, to help support better planning and decision making.
  • User-friendly interface and tools to discover, interpret and analyse data using accredited methodologies.
  • Streamlined processes such as data standards and guidelines that improve data quality, avoid duplication in collection of environmental data therefore, reducing cost and delays in conservation and development planning.
  • Improved collaboration and knowledge sharing leading to enhanced conservation management and research outcomes.

Key focus areas

Develop an agreed framework and approach through:

  • A commitment from organisations to common objectives, standards and infrastructure in building a biodiversity information management system.
  • Policies that facilitate open access to data and its reuse.
  • Data collection workflows that map, standardise and streamline workflows to collect and store data.
  • Knowledge networks that establish and recognise data custodians and providers.

Build data collection and access capability for:

  • Data storage and quality assurance to ensure biological data sets are visible, accessible and managed according to best practice, as well as being as accurate as possible and able to be aggregated.
  • Data collection tools that enforce data and collection standards.
  • Data service to progressively build the capability of an information management system.
  • Identify and understand different data types and their application for various end-users.
  • Data mobilisation within the data platform so that knowledge gaps for W.A. can be progressively addressed.

Support improved access to data interpretation and re-use

  • Ensure data users have access to tools to visualise and interpret data in ways that meet their needs.
  • Tools that support the re-use of data.