PSI-AI
Advancing AI-readiness of Public Proteomics Data
Mission
The PSI AI-readiness working group bridges the gap between public proteomics data and the use of artificial intelligence. We focus on making proteomics data AI-ready while standardizing AI workflows that generate new data through community standards and reproducible pipelines.
Key Objectives
📊 Data Accessibility
Enhance metadata annotation for AI discoverability
🔄 Harmonize Raw Data Formats
Convert to open formats (mzML, mzPeak)
⚡ Streamlined Data Reprocessing
Lightweight ML-ready data processing workflows
🎯 Benchmark Resources
Curated datasets and methods for AI development
📋 Best Practices
Ethical and effective reproducibility standards
🤝 Community Standards
AI model frameworks and HUPO-PSI integration
About This Resource
This site serves as the dynamic hub for PSI-AI working group outputs, including:
📚 Living Documentation
Guidelines and standards that evolve with the field
📋 Best Practice Guides
Crowd-sourced recommendations
🔗 Curated Links
Community-curated resources and tools
Whether through commenting, writing documentation, sharing resources, or joining working groups - this platform thrives on community participation.
Get Involved
🤝 Contribute content
- Submit documentation
- Share best practices
- Review community submissions
- Provide feedback
💬 Join discussions
- Comment on proposals
- Attend community calls
- Participate in the working group task forces
- Share project experiences
Ways to Participate
- Working Group Charter - Learn about our mission and structure
- Community Surveys - Help shape priorities and direction
- Collaborative Writing - Co-author documentation and guidelines
- Resource Sharing - Contribute tools, datasets, and workflows
- Peer Review - Help validate and improve community contributions
Ready to Start? Join our efforts to make proteomics data more accessible and useful for the AI/ML community. Every contribution, no matter how small, helps advance the field.