ON-SITE Study: Data Management and Sharing Plan for AI-Assisted Lung Cancer Detection

A Data Management and Sharing Plan outlines the scientific data for the ON-SITE multicenter study. The research, led by Jason Akulian, combines Stimulated Raman Histology with Artificial Intelligence for rapid lung cancer detection during bronchoscopy. The plan was last updated on June 8, 2026.

Use Cases

• Designing data governance frameworks for multicenter clinical trials based on the described management plan.
• Planning data sharing protocols for medical imaging and histology research projects.
• Structuring metadata and documentation for AI model training datasets in clinical settings.

Strengths

• Plan is associated with a defined multicenter clinical study (ON-SITE) focusing on a specific medical application.
• Last update timestamp (2026-06-08) is provided, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• The record describes a management plan, not the underlying research data itself; data availability is unknown.

Provenance

Source

Akulian, Jason via ODUM Harvested Dataverse

Collection Method

Likely authored as part of a research grant or study protocol.

Freshness

Last updated 2026-06-08 03:10:44; freshness should be verified.