Data Management Plan for Multimodal AI Health Research

Presenting a Data Management and Sharing Plan outlining the strategy for handling scientific data generated for a research project on ethical, multimodal AI in health. The plan describes the types of data to be used and the framework for its management and sharing. Specific details on data volume, structure, and features are not provided.

Use Cases

• Analyze the described data types and management framework to understand data governance for AI health research projects.
• Review the outlined sharing strategy to inform the development of similar data management plans for multimodal studies.
• Examine the plan's structure to identify key components required for ethical data handling in health AI.

Strengths

• Plan authored by a named researcher, Saira Sheikh, providing clear attribution.
• Plan is associated with a specific research focus on advancing health research through ethical, multimodal AI.

Limitations

• The dataset is a descriptive plan document, not a structured data file with rows, columns, or sample data for analysis.
• No quantitative data (e.g., row count, file size, column details) is available for empirical research or modeling.

Provenance

Source

ODUM Harvested Dataverse

Collection Method

Harvested from the Dataverse platform.

Time Range

null

Freshness

null

Geography

null