Rows without surprises.
Preserve identifiers, quoting, nulls, and field meaning when structured data becomes a spreadsheet export.
Journal topic
Schemas.
Connected reading.
Follow one idea across sources, formats, and implementation choices.
5 RELATED ARTICLESA schema makes record structure explicit, but it is only one part of validation. These articles connect field definitions, required properties, null behavior, and schema revisions to the business task. Use them to decide what a receiving application can safely assume. Keep meaning and evidence checks separate from syntax checks, and document transformations when a record moves between formats. The examples are design patterns to adapt, not a live service contract.
Structure is only the start.
Make absence, precision, relationships, evidence, and schema changes explicit in your JSON contract.
Extract meaning. Keep proof.
Design narrow text tasks, constrain untrusted content, and accept fields because the source supports them.
A better data contract.
Define fields, evidence, failure states, and outputs before you scale an extraction workflow.
Query narrowly. Export clearly.
Design read-only datasets, stable continuation, snapshot semantics, and recovery at the database boundary.