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 — twenty-four topics and more than sixty in-depth guides. Each page pairs copy-ready Python with hand-drawn diagrams of the pipeline it describes, in a light or dark theme that follows your system preference.
Four focus areas, each with dedicated topics, runnable code, and deep dives into the standards that govern spatial data compliance — from licence compatibility and metadata crosswalks to CI workflows and location-data obligations.
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 the site's core areas.