A technical reference for automating license tracking, metadata generation, catalog synchronization, and compliance validation for spatial datasets. Standards-first. Pipeline-native. Production-ready.
Built for GIS data managers, open-source maintainers, Python automation engineers, and government technology teams — this hub treats licensing and metadata as first-class pipeline artifacts rather than manual paperwork. Each guide pairs the standards (ISO 19115, FGDC, DCAT-AP, STAC) with production-ready patterns you can drop into real workflows.
Four deeply linked areas cover licensing fundamentals, automated metadata generation, CI/CD validation, and audit reporting & governance. Each landing page connects to focused guides, copy-ready Python, runnable YAML, and inline diagrams of the pipelines involved.
Four focus areas, each with dedicated guides, code examples, and deep dives into the standards that govern spatial data compliance.
Track license obligations across open, commercial, and government datasets. Turn legal terms into repeatable engineering checks — ODbL, CC, EULA, and beyond.
Generate ISO 19115, FGDC, and DCAT-AP metadata programmatically. Schema cross-walks, template engines, and validation built into your pipelines.
Enforce metadata quality and policy gates in CI. Lint spatial schemas on every pull request, run topology checks, and keep catalogs audit-ready.
Prove compliance after the fact. Generate HTML and PDF audit reports, track dataset lineage, aggregate catalog-wide compliance dashboards, and keep tamper-evident evidence trails.
New to geospatial compliance automation? These pages give the fastest grounding across all three pillars.