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stata-data-provenance

Track dataset lineage, transformation steps, merge logic, and reproducibility risks in Stata workflows. Use when the user needs to explain where data came from, how it changed, or why a pipeline can be trusted.

Published by brycewang-stanford ↗brycewang-stanford/Auto-Empirical-Research-Skills

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stata-data-provenance

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Use stata-data-provenance to create an auditable provenance narrative for [Stata workflow], mapping source files, transformations, merges, sample restrictions, intermediates, and dependent outputs; flag reproducibility risks.

Required inputs

  • [Stata workflow]

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SKILL.md

name: stata-data-provenancedescription: Track dataset lineage, transformation steps, merge logic, and reproducibility risks in Stata workflows. Use when the user needs to explain where data came from, how it changed, or why a pipeline can be trusted.

Data Provenance

Use this skill when lineage and reproducibility matter.

  1. Map the sequence of source files and transformations.
  2. Flag untracked merges, overwrites, and silent sample restrictions.
  3. Produce a concise provenance narrative a coauthor can audit.

Read references/lineage.md for the provenance checklist.