Quick wins: 12 small changes that improve reproducibility now

These items are intentionally short, low-effort, and high-value. Pick one or two to implement within a week and measure the improvement.

1. Centralize protocol storage. Put canonical protocol versions in one shared location and link to them from project pages.
2. Require simple version notes. Add a one-line change summary and date to protocol updates.
3. Collect experiment metadata. Add a one-page template capturing who, when, reagent batches, and instrument IDs.
4. Archive raw data separately. Ensure raw data is immutable and stored for the expected retention period.
5. Save code in a repo. Put analysis scripts and notebooks in a version-control system with a README to run them.
6. Record environment info. Add a short text file or container spec describing the analysis environment.
7. Create a QC checklist. Add one small QC check to every run (e.g., control sample limits) and log results.
8. Keep calibration logs current. Place a dated calibration or service entry near the instrument record.
9. Make training visible. Add a simple training sign-off for each protocol so it’s clear who is competent.
10. Use consistent file naming. Adopt a short naming convention to avoid confusion and overwriting files.
11. Link evidence to reports. When reporting results, link back to the protocol, data, and code used for that analysis.
12. Run a mini‑audit monthly. A 30-minute check of one protocol keeps practices current and surfaces drift early.

Each of these steps reduces common failure modes discovered in reproducibility audits. They are practical starting points before larger investments in tooling or process redesign.