Replication data and code: Symmetry-Aware Decision Support for Curricular Alignment under Uncertainty — Documentary and Bibliometric Evidence from Nine Health Sciences Programs

Aggregate, anonymized analytical data and code for the article submitted to the Symmetry (MDPI) Special Issue 'Symmetry in Uncertainty and Intelligent Decision-Making'. Contains competency coverage profiles and the temporal symmetry index sigma_k (with sensitivity analysis and documentary-confidence grades), the cross-program convergence matrix, the five VOSviewer bibliometric clusters, and the corpus composition, plus a standard-library Python script that recomputes every sigma_k (sigma_k = min v_k(t) / max v_k(t)). The raw institutional documents (redesign reports, syllabi) are confidential and are NOT included; the aggregate ratings reproduce all quantitative results.