canonical-preflight

To validate required files before running a data analysis pipeline, run a preflight check that confirms path existence and readability of raw CSVs, codebooks, and reference documents, returning a structured JSON pass/fail report to block execution if assets are missing.

Preflight validation for reproducible analyses is a fail-fast process that verifies required canonical inputs, baseline outputs, and reference documents exist and are accessible before launching replication runs, preventing wasted execution time and undetected failures.

To check if baseline output tables exist before starting a replication run, perform a baseline verification step that confirms canonical output folders and specific publication tables are present so downstream analyses can safely assume a validated baseline.

Yes, you can generate timestamped run folders automatically when validating workspace inputs. The preflight process creates timestamped run folders for new outputs during validation to preserve reproducibility and operational safety.

If required datasets or reference documents are missing during preflight, the fail-fast validation rules block execution and report the missing assets in a structured JSON pass/fail report, alerting collaborators before the pipeline launches.

Yes, preflight validation works for manuscript-ready data workflows by verifying canonical inputs, reference documents, and baseline outputs are present and accessible, ensuring publication tables and downstream analyses meet reproducibility standards prior to execution.