Reference

These pages help you run the example, understand its results, and check the assumptions behind a change.

• Data contract: schemas, filtering, selection, parameters, and run artifacts.
• Run the pipeline: setup, commands, and troubleshooting.
• Synthetic data: generation recipe, provenance, and baseline counts.
• Lab data and university policy: PHI, PII, permitted services, and everyday sharing risks.
• Sources and review dates: official documentation behind platform guidance.

Start with the run instructions if you are new to the repository. When you are ready to change a rule, use the data contract to discuss the intended behavior with your mentor or collaborator before implementing it.