Interactive Tool

Reproducibility & Quality Audit — Walk‑through Form

Use this interactive audit during a 60–90 minute walk-through or remote review. Answer each question honestly and add short notes or links to evidence. The form collects the structured responses so you can prioritize fixes afterwards.

Name the project, lab, or workflow you are auditing (e.g., 'Cell-growth assay — Team B').
Date of the walk-through
Name and role of the auditor or lead reviewer
Includes lab protocols, computational methods, and standard operating procedures with clear version history.
Consider access controls, central storage, and discoverability.
Look for change logs, who approved the change, and when it was applied.
Is there a clear separation and retention of raw vs processed data with file-level metadata?
Look for scripts in version control, workflow definitions, and instructions to re-run analysis.
Does the repo include environment specs, container images, or package lists to recreate the environment?
Check calibration logs, scheduled maintenance, and recent service records.
Metadata improves interpretability and reproducibility. Look for consistent fields, templates, or forms.
Look for evidence that people running protocols were trained on the exact version of the procedure.
E.g., QC samples, control charts, or automated checks in analysis pipelines.
Where are final results stored and who is responsible for retention?
Select the level of concern observed during interviews and walk-throughs.
Your assessment of how likely a routine experiment would be reproducible today.
1.0 5.0
Summarize the most important findings you observed during the audit.
Paste links, repository names, or location paths that support answers above.
Single-sentence recommendation: e.g., 'Centralize protocol versions and require code repos for all analyses.'
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