AI-Assisted Ultrasound Early Pregnancy Localization Data Management Plan

Data Management and Sharing Plan for a Career Development Award in AI-assisted ultrasound for early pregnancy localization. The plan describes the scientific data to be generated and outlines a strategy for managing and sharing project data. The author is Katelyn Rittenhouse.

Use Cases

• Analyze the data management strategy for AI-assisted ultrasound research projects.
• Review the plan's framework for sharing scientific data related to early pregnancy localization.
• Examine the described types of scientific data to be generated for the career development award.

Strengths

• Plan is authored by a named researcher, Katelyn Rittenhouse.
• Plan has a specific, documented last update date of 2026-02-02.

Limitations

• The dataset is a plan document, not the actual research data, limiting analytical utility.
• No quantitative data (rows, columns, sample data) is available for analysis.
• The scope and specific contents of the data to be managed are described but not provided.

Provenance

Source

ODUM Harvested Dataverse

Collection Method

Harvested from a Dataverse repository.

Time Range

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Freshness

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Geography

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