Evidence-Based Funding

Every funding decision backed by transparent, verifiable data. Our multi-dimensional metrics framework ensures resources reach the tools researchers actually depend on.

Note: This is only an exemplar draft to demonstrate the concept. Details such as metric thresholds and weighting adjustments will be determined through community input.

How We Measure Impact

Metrics Framework: Usage (40%), Academic Impact (30%), Community Health (20%), Innovation (10%)

Our weighted scoring system balances breadth of adoption with depth of impact, ensuring both widely-used tools and specialized critical infrastructure receive appropriate support.

Data Collection Principles

Privacy-First

Aggregated and anonymized metrics. User consent for any individual data. Clear opt-out mechanisms.

Automated

Package manager APIs, academic database crawling, repository analytics. Minimal burden on maintainers.

Transparent

Public dashboard showing real-time funding allocation, impact metrics, and complete audit trail.

Verifiable

All metrics independently auditable. Methodology published. Regular third-party reviews.

Success Indicators

For Software

Reduced bugs and security vulnerabilities
Improved stability and performance
Faster issue resolution

For Research

Increased reproducibility
Less time on technical troubleshooting
Enhanced cross-institution collaboration

For Maintainers

Stable employment and career paths
Professional recognition
Reduced burnout

Transparency You Can Trust

Our metrics framework is designed for practical implementation with real accountability. Every funding decision will be backed by verifiable data that serves the research community's best interests.