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Redesign and Enhancement of Engineering Research Platform for Improved Data Discovery and User Experience

door3.com

Information technology

Research & development

Data services

Challenges in Engineering Research and Data Accessibility

Engineering teams face significant inefficiencies due to outdated research methods, overwhelming volumes of technical data, and poor search capabilities that often return irrelevant results (e.g., 'metal fatigue' search yielding video game content). Existing platforms lack personalized experiences and advanced data discovery tools required for modern engineering challenges.

About the Client

Provider of technical reference content and data solutions for engineering professionals

Platform Modernization Goals

Implement advanced search capabilities with domain-specific relevance ranking
Create personalized user experiences through customizable interfaces
Enhance data discovery through interactive visualizations and filtered results
Improve accessibility and usability through iterative user-centered design
Integrate validated technical data from 140+ trusted sources into unified interface

Core Platform Capabilities

Semantic search with engineering domain specialization
Customizable dashboards (MyKnovel features)
Interactive graphs/tables with export capabilities
Context-aware result filtering and refinement
User feedback integration for continuous improvement

Technology Stack Requirements

Modern web framework (React/Vue)

Cloud-native architecture (AWS/Azure)

Machine learning for search relevance tuning

GraphQL API for data integration

Progressive Web App (PWA) capabilities

System Integration Needs

Content provider APIs (ASM International, NACE)
Single Sign-On (SSO) solutions
Usage analytics platforms
Document licensing management systems

Operational Requirements

99.9% platform availability SLA
Sub-200ms search response times
Role-based access control (RBAC)
WCAG 2.1 AA accessibility compliance
Horizontal scalability for 10x user growth

Business Value Projections

Expected 40% reduction in research time for engineering teams, 25% increase in user engagement metrics, and 15% growth in enterprise customer retention through improved problem-solving efficiency and enhanced user satisfaction with personalized features.