GENAISIS: Generative AI Evaluation Framework Survey Results

Four rounds of aggregated survey results from an international, multi-stakeholder Delphi process. The data underpins the GENAISIS framework, which defines an eight-phase lifecycle and checklist for responsible GenAI in healthcare. The dataset also includes scripts for generating graphics, a Data Management Plan, and a research protocol.

Use Cases

• Validate a generative AI lifecycle framework based on aggregated expert consensus.
• Analyze stakeholder priorities for GenAI governance based on survey round results.
• Reproduce framework graphics and visualizations based on the included scripts.
• Review data management and research protocols for similar multi-stakeholder studies.

Strengths

• Framework developed through a large international, multi-stakeholder Delphi process.
• Includes four rounds of aggregated survey results, providing a structured consensus view.
• Companion materials include scripts, a Data Management Plan, and a research protocol.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count and column-level documentation are absent; field semantics must be inferred after download.

Provenance

Source

Chen, Yu-Wen via DataverseNL Harvested Dataverse

Collection Method

Large international, multi-stakeholder Delphi process.

Freshness

Last updated 2026-06-01 06:11:09; freshness should be verified.