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reproducibility-check
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Comprehensive reproducibility tool — audit Methods completeness for replication AND promote open science best practices (pre-registration, FAIR data, code sharing, replication design, reporting transparency); trigger when preparing a manuscript, reviewing methodological comple...
When to use
- **Pre-submission self-check** to ensure the Methods section is complete before journal submission.
- **Replication feasibility review** to determine whether another lab/team could repeat the work.
- **Peer review / methodological audit** to identify missing details, ambiguities, or under-specified procedures.
- **Internal lab documentation check** to improve protocol clarity and reduce tacit knowledge.
- **Meta-research / reproducibility screening** to triage papers by reproducibility risk.
- **Pre-registration guidance** for hypotheses, methods, and analysis plans before data collection.
- **FAIR data management** to make data findable, accessible, interoperable, and reusable.
- **Code and computational environment sharing** (Docker, Binder, GitHub, Zenodo).
When not to use
- Assessing abstracts, results, or discussion without full Methods section
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