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Development of a Cloud-Based Laboratory Animal Research Management System
  1. case
  2. Development of a Cloud-Based Laboratory Animal Research Management System

Development of a Cloud-Based Laboratory Animal Research Management System

freeportmetrics.com
Medical
Research & Development

Identifying Challenges in Outdated Laboratory Research Software

The client currently utilizes legacy open-source software that is over 25 years old, which is counterintuitive and lacks essential functionalities required for efficient management of animal colonies, workflows, and experiments. This outdated landscape hampers scientific productivity and data accuracy, necessitating a modern, species-agnostic, cloud-based solution to improve research processes.

About the Client

A mid-sized biomedical research institution seeking modern software solutions for animal research tracking and workflow management.

Goals for Developing an Advanced Animal Research Management Platform

  • Implement a scalable, cloud-based software solution to streamline the tracking of animal colonies, workflows, and experiments across multiple species.
  • Enhance research productivity by providing intuitive user interfaces and comprehensive management tools.
  • Secure significant research grants or funding through a streamlined proposal process enabled by the new system.
  • Establish a robust agile development process utilizing Scrum methodology to ensure timely delivery and high-quality features.
  • Achieve measurable improvements in research efficiency, data accuracy, and workflow management within the first year post-deployment.

Core Functional Specifications for the Animal Research Management System

  • Animal Colony Tracking Module: Real-time tracking and management of animal populations, breeding, and genetic information.
  • Workflow and Experiment Management: Tools to plan, execute, and monitor experiments with customizable protocols.
  • Species-Agnostic Flexibility: Support for managing diverse animal species with tailored data fields.
  • User Role & Access Control: Multi-tiered permissions to ensure data security and compliance.
  • Secure Cloud Storage & Data Backup: Reliable hosting with disaster recovery capabilities.
  • Reporting & Analytics Dashboard: Insights into colony health, experiment outcomes, and operational metrics.
  • Integration Capabilities: Interface with external laboratory instruments and existing research databases.

Technological Foundations for the Research Management Platform

Cloud-based SaaS architecture for scalability and remote accessibility
Agile development frameworks with Scrum methodology
Modern web technologies such as React.js or Angular for front-end development
Backend development with Node.js or similar scalable server technologies
Containers and orchestration tools like Docker and Kubernetes for deployment
Secure authentication protocols (OAuth2, SAML)

Essential External System Integrations

  • Laboratory Instrumentation APIs for real-time data acquisition
  • Existing laboratory data systems and databases for seamless data migration and interoperability
  • Grant application and funding management tools for streamlined proposal workflows

Critical Non-Functional System Attributes

  • Scalability to support growing research data and user base, with performance targets of under 2 seconds response time for core operations
  • High availability with 99.9% uptime
  • Data security adhering to industry standards, including encryption at rest and in transit
  • Compliance with research data privacy regulations
  • User-friendly interfaces to facilitate adoption among scientists and administrators

Projected Business and Research Impact of the New System

By deploying this cloud-based research management platform, the organization aims to significantly improve operational efficiency, leading to faster experiment turnaround times and more accurate data collection. The project is expected to support securing substantial research grants, similar to prior achievements, and foster innovation in animal research workflows. Overall, this will position the organization as a leader in modern, tech-driven biomedical research environments.

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