Evolving tooling to catalog all the open science research resources in the world (starting with Alzheimer’s disease).
Introducing the CARD Catalogue Beta: Advanced Federated Resource Browser for Alzheimer's Disease Research
We are pleased to announce the beta release of the CARD Catalogue, a comprehensive federated resource browser designed to accelerate Alzheimer's disease research through AI-powered insights and adherence to FAIR data principles.
Platform Capabilities
The CARD Catalogue integrates four critical research domains with advanced analytical capabilities:
🔬 Data Discovery & Analysis
Interactive knowledge graphs visualizing study interconnections
FAIR compliance tracking and assessment
Comprehensive filtering by diseases, data types, tools, and genetic variants
AI-powered research gap analysis against current biomedical priorities
📚 Publications Intelligence
PubMed Central integration with semantic search capabilities
Author and institutional collaboration network analysis
Bibliometric trends and research topic clustering
💻 Research Software Ecosystem
GitHub repository analysis with biomedical relevance filtering
Technology stack and development pattern insights
Research software collaboration networks
Language and tool usage analytics
🧬 Biorepository Resources
iNDI iPSC lines with neurodegenerative disease-associated variants
Population genetics and diversity assessments
Functional validation insights for genetic research
Technical Innovation
The platform leverages knowledge graph generation, and comprehensive AI analysis. Each analytical module provides research gap assessments, and strategic recommendations for research planning.
Access & Engagement
🌐 Beta Application: https://lnkd.in/e8H_zAWj
📹 Technical Walkthrough: https://lnkd.in/eUp5DzCj
📋 Research Community Survey: https://lnkd.in/eTPvbWjj
We strongly encourage community feedback through our survey to enhance this platform's utility for the broader research ecosystem.
Collaborative Development
This initiative represents a significant collaborative effort. We extend our gratitude to Owen Bianchi, Mathew Koretsky, and Mette Peters for their insights, Bill Buaas and Mark Cookson for their expertise in biorepository data, and Matthew Clement, Caitlin McHugh, and Farhad Imam from the Alzheimer's Disease Data Initiative for their essential contributions.
Future Development
The platform will be further refined through the NACC-sponsored pre-meeting workshop at AAIC 2025 in Toronto, representing a continued commitment to community-driven development for data discovery exemplifies next-generation research infrastructure, supporting data sovereignty while enabling comprehensive cross-resource analysis through human-in-the-loop AI systems.
As a note, some versions of chrome and edge browsers are reporting issues with text color, please try firefox or toggling day and night modes.
Why we do beta tests, right? 😅