From PDFs to Pipelines: Liberating Public Data
A practical look at turning documents into structured, queryable data.
Too much valuable information is trapped in documents. Here is the pipeline we use to set it free:
- Collect — gather source documents and record provenance
- Extract — parse tables and text into raw records
- Standardize — map to a shared schema
- Publish — release versioned, machine-readable data
Each stage is boring on its own. Together, they are how a commons gets built.
dataetlworkflow