Mission
The HUPO-PSI AI-readiness Working Group bridges the gap between proteomics data and the use of artificial intelligence. We focus on two complementary goals. The first is to make public proteomics data suitable for AI applications. The second is to support and standardize the use of AI in workflows that generate new data. We work toward these goals through the use of community standards and reproducible and accessible pipelines. Our aim is to integrate with, not duplicate, existing infrastructure and community efforts.
Key Objectives
📊 Data accessibility
Enhance metadata annotation for AI discoverability
🔄 Harmonized data formats
Endorse open formats like mzML & mzPeak
⚡ Streamlined data reprocessing
Promote ML-ready data processing workflows
🎯 Benchmark resources
Curate datasets and evaluation methods for AI development
📋 Best practices
Ensure ethical and effective workflows
🤝 Community building
Integrate existing community efforts
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
📰 Blog & News
Updates and insights from the community
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
- Attend community calls
- Participate in the working group task forces
- Comment on proposals
- Share project experiences
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. To get involved, please contact us at .