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DBCA: Geospatial Environmental Data Platform

The Department of Biodiversity, Conservation, and Attractions (DBCA) needed to enhance their existing geospatial data platform, Dandjoo, to make Western Australian biodiversity data more discoverable, accessible, and usable.

Overview

The Department of Biodiversity, Conservation, and Attractions (DBCA) engaged Mechanical Rock to enhance their Dandjoo Data Platform - a geospatial web application designed to make Western Australian biodiversity data more discoverable, accessible, and usable. The project focused on improving both the Data Delivery Portal and Data Curation systems.

Challenge

DBCA needed to modernise their existing platform to support efficient and transparent decision-making for environmental assessment and approvals while ensuring seamless integration with other government platforms.

Dandjoo Data Delivery SearchDandjoo Data Delivery

Solution

Mechanical Rock delivered comprehensive enhancements across two key areas:

Data Delivery Portal

  • Implemented sophisticated search functionality with advanced filtering mechanisms
  • Enhanced geospatial capabilities including:
    • Search by uploaded Shapefile or polygon
    • Buffer options for polygon searches
    • Interactive mapping features
  • Improved data retrieval performance and user experience
  • Modernised software dependencies and frameworks
  • Implemented geographic information system (GIS) features for spatial analysis

Data Curation System

  • Enhanced data integrity and validation workflows
  • Implemented automated processes for data consistency
  • Added features for:
    • Record visibility control
    • Archive dataset categorisation
    • Enhanced curation experience
    • Taxonomic name validation
    • Spatial accuracy verification for Western Australia records

Outcomes

The enhancements delivered by Mechanical Rock resulted in measurable improvements to both system performance and user experience. The upgraded platform now provides a more powerful, accessible, and efficient way for stakeholders to manage and explore biodiversity data. Key outcomes included:

  • Successfully delivered double the initial scope under budget and ahead of schedule
  • Transformed the platform into a more robust, user-centric solution
  • Enhanced data management capabilities through improved spatial data handling
  • Strengthened data governance and quality control processes

Key Success Factors

The success of the Dandjoo Data Platform enhancement was driven by a combination of technical excellence, strong collaboration, and agile delivery. Key contributing factors included:

  • Broad range of expertise from GIS knowledge to full stack development
  • Strong collaboration between Mechanical Rock and DBCA teams
  • Agile delivery approach allowing for scope expansion
  • Focus on both immediate improvements and long-term maintainability
  • Comprehensive knowledge transfer throughout the engagement

Technical Highlights

The project’s technical achievements significantly elevated the platform’s performance, reliability, and scalability. Notable highlights include:

  • Achieved massive performance gains, reducing execution times from tens of seconds to under 100 ms
  • Implementation of advanced filtering mechanisms
  • Integration and management of geographic information system data
  • Upgrade of critical dependencies and frameworks
  • Enhanced security posture
  • Automated validation processes