Data Management Plan for AI-Assisted Ultrasound Twin Gestation Study

Data Management and Sharing Plan for a research project titled 'Assessment of Twin Gestation with AI Assisted Ultrasound'. The plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data. The author is Jeff Stringer, and the record was last updated in February 2026.

Use Cases

• Analyze the structure of the data management plan to understand data types and formats proposed for the AI-assisted ultrasound study.
• Review the data sharing strategy outlined in the plan to assess compliance with funding agency or institutional requirements.
• Extract metadata descriptions of planned scientific data to inform the design of similar data management frameworks for medical imaging projects.

Strengths

• The plan is authored by a named researcher, Jeff Stringer, providing clear attribution.
• The record has a specific last updated date of February 16, 2026, indicating recent maintenance.

Limitations

• The dataset itself (the scientific data described) is not directly available; only the management plan document is provided.
• No concrete data attributes like row count, column names, or file formats are specified in the available metadata.

Provenance

Source

ODUM Harvested Dataverse

Collection Method

Harvested from the Dataverse platform.

Freshness

The record was last updated on 2026-02-16.