Individual skill
ors-data-analysis
Use when running and reporting the computational study for an Operations Research (OR) manuscript — benchmark instances, baselines, reproducible experiments, statistical care for stochastic output, and the ORJournal code-and-data reproducibility workflow. Executes and reports the numerical evidence; it does not prove the results (ors-methods) or lay out the exhibits (ors-tables-figures).
Operations-Research-Skills/skills/ors-data-analysis/SKILL.md
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# Computational Study & Reproducibility (ors-data-analysis)
## When to trigger
- Theory is in place and you need numerical evidence that the method works and scales.
- You must benchmark against credible baselines on standard instances.
- You are preparing the code/data deposit for the ORJournal reproducibility review.
## Design a defensible computational study
*Operations Research* judges computation as evidence supporting a methodological
claim, not as the contribution by itself. Make it convincing:
- **Instances:** use recognized benchmark libraries (e.g., MIPLIB, TSPLIB, DIMACS,