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:

  1. Collect — gather source documents and record provenance
  2. Extract — parse tables and text into raw records
  3. Standardize — map to a shared schema
  4. Publish — release versioned, machine-readable data

Each stage is boring on its own. Together, they are how a commons gets built.

dataetlworkflow
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