Pattern 30 · Economy & Work
Public Data Commons
Shared local data infrastructure for better decisions and opportunity.
Addresses: Low Trust, Institutional Distrust, Lack of Vision
Problem
Critical local data lives in silos or corporate platforms. Communities can't see patterns, measure progress, or make informed decisions about their own future.
Context
Schools, health systems, employers, and governments collect data about communities—but rarely share it back in useful forms. Lack of transparency fuels distrust and poor planning.
Solution
Build public data commons: shared platforms where community-controlled data is accessible, transparent, and used to inform local decisions. Balance openness with privacy and sovereignty.
Implementation
- Inventory existing data sources and identify gaps (economy, health, education, environment)
- Create simple dashboards showing key indicators: jobs, housing, graduation rates, health outcomes
- Establish data governance agreements: who owns it, who can access it, how it's used
- Train community members as data stewards and interpreters
Examples
- Detroit: Neighborhood data portals showing real-time conditions and trends
- Portland: Open data platform with community-contributed datasets
- Tribal Nations: Sovereign data systems ensuring cultural protocols and community control
Related Patterns
- Community-Based Research
- Listening Infrastructure
- Trust Infrastructure