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Development of a Cloud-Based Environmental Data Management System
  1. case
  2. Development of a Cloud-Based Environmental Data Management System

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Development of a Cloud-Based Environmental Data Management System

kandasoft.com
Environmental Services
Education

Data Silos and Inefficient Data Management

The Native Plant Trust currently faces significant challenges due to disparate data systems (NORM, ArcGIS, IrisBG, GoBotany) and a lack of data integration. Data is stored in various formats, leading to data duplication, inconsistencies, and difficulties in accessing and analyzing information for research, conservation efforts, and public education. The previous database (NORM) was not designed for efficient data utilization, resulting in data summarization and loss of valuable detail. The lack of a cohesive system hinders collaboration and the sharing of data with other organizations.

About the Client

A non-profit organization dedicated to the conservation and promotion of native plants in New England, providing research, education, and conservation services.

Project Goals

  • Develop a centralized, cloud-based database to manage rare plant data.
  • Improve user experience for staff and volunteers.
  • Enhance data usability for research, conservation, and education purposes.
  • Reduce manual data entry and eliminate data duplication.
  • Ensure data integrity and consistency across all data sources.
  • Create a scalable and flexible system to accommodate future data growth and evolving needs.
  • Facilitate seamless data sharing with external organizations.

Functional Requirements

  • Geolocation support for plant occurrence data.
  • Advanced search and filtering capabilities.
  • Data visualization tools (maps, charts, graphs).
  • User-friendly interface for data entry and management.
  • Role-based access control.
  • Data import/export functionality.
  • Data validation rules.
  • Reporting capabilities.

Preferred Technologies

Cloud-based platform (e.g., AWS, Azure, Google Cloud)
Relational database (e.g., PostgreSQL, MySQL)
Web application framework (e.g., React, Angular, Vue.js)
Geo-spatial technologies (e.g., Leaflet, ArcGIS API)
API development for integrations

Required Integrations

  • ArcGIS (for spatial data)
  • IrisBG (collection management system)
  • GoBotany (plant species information)
  • Potential integration with other external data sources

Non-Functional Requirements

  • Scalability to accommodate increasing data volume and user base.
  • High availability and reliability.
  • Data security and privacy.
  • Performance and responsiveness.
  • Accessibility (WCAG compliance).

Expected Business Impact

The new system is expected to significantly improve the efficiency of data management, enhance research capabilities, streamline conservation efforts, and facilitate data sharing with other organizations. By centralizing data and providing user-friendly tools, the Native Plant Trust will be able to make more informed decisions, allocate resources more effectively, and increase its overall impact on plant conservation in New England. The project will free up staff and volunteers from manual data entry tasks, allowing them to focus on more strategic activities. The ability to analyze data more effectively will lead to a better understanding of plant populations and the impacts of climate change, enabling targeted conservation strategies.

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