Individual skill
mgsci-data-analysis
Use when executing and reporting the analysis for a Management Science (INFORMS) manuscript — proving and numerically verifying analytical results, or estimating and validating empirical models (identification, robustness, inference) to the standard of the relevant Department, and preparing a Data-and-Code-Disclosure-ready replication package. It executes; it does not design the study (mgsci-methods) or frame the contribution (mgsci-contribution-framing).
Management-Science-Skills/skills/mgsci-data-analysis/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Sep 27, 2026
- License
- MIT
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# Analysis & Verification (mgsci-data-analysis)
## When to trigger
- Results are ready to be derived/estimated and reported
- You are unsure whether the analysis actually supports the claim
- Reviewers will probe proof correctness, identification, or robustness
- You must assemble the replication package the Data Editor will verify
Because Management Science is **bimethodological**, "analysis" means proving/computing results in the analytical lane or estimating/validating in the empirical lane. Both are held to their Department's rigor bar.
## Analytical lane — prove, then illustrate
- **Proofs first.** Every proposition/theorem needs a correct, checkable proof (main text or appendix). Reviewers verify the algebra and the logic.