Data Sheet 1_GSEA model outcomes in pharmaceutical workforce development: a retrospective

Data Sheet 1 from a retrospective pilot study by Shibao LI, evaluating a Government–School–Enterprise–Association (GSEA) intervention from 2023 to 2025. The dataset likely contains results from stakeholder surveys (n=326), interviews (n=28), and administrative panel data (n=1,200 students) analyzed using structural equation modeling. It was published on figshare in 2026 under a CC-BY-4.0 license.

Use Cases

• Modeling governance mechanisms and their associations with talent development based on the described structural equation modeling (SEM) analysis.
• Analyzing changes in professional employment rates and enterprise satisfaction before and after the GSEA intervention.
• Studying the translation of public policy into professional standards and curriculum alignment in a regulated industry context.

Strengths

• Includes data from multiple sources: 326 survey responses, 28 interviews, and panel data for 1,200 students.
• Reports specific outcome metrics, including a professional employment rate increase from 68.3% to 89.5% and a 23.6% rise in enterprise satisfaction.
• Study design includes formal ethical approval and a comprehensive assessment conducted in 2025.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The study uses a retrospective observational design; findings are associative rather than causal.

Provenance

Source

Shibao LI via figshare.

Collection Method

Retrospective evaluation of a pilot intervention using routine program monitoring data, surveys, interviews, and administrative panel data.

Time Range

2023–2025 (pilot intervention period).

Freshness

Last updated 2026-05-26 05:26:17; freshness should be verified.

Geography

A prefecture-level city in eastern China.