reproducibility-checklist

What problem does it solve?

Reproducibility is essential for credible research, but many experiments lack complete provenance, deterministic settings, and auditable artifacts. This checklist provides a concrete, auditable standard spanning code, environment, data provenance, determinism, and validation requirements to ensure results can be independently reproduced and verified.

Core Features & Use Cases

• Comprehensive coverage: Enforces code version pinning, environment capture, input/output manifests, and deterministic settings.
• Provenance tracking: Documents data lineage, date ranges, and run metadata to support audit trails.
• Publication readiness: Guides researchers in preparing methods, results, and validation artifacts for venues and peer review.
• Use Case: Before submitting a manuscript or sharing a benchmark, run this checklist to ensure all A–G items are documented and reproducible.

Quick Start

Follow the checklist to verify all items A–G are completed before publishing.