Data Management Plan for Metastatic Breast Cancer End-of-Life Study

Presenting a Data Management and Sharing Plan (DMSP) for a research project evaluating end-of-life best practices and implementing a tool to predict near-term death among patients with metastatic breast cancer in an oncology clinic. 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 specific data types, row counts, and column counts are not detailed in the provided input.

Use Cases

• Analyze the structure and requirements of a DMSP for oncology research to inform similar study designs.
• Review the described data management strategy for compliance with funding agency or institutional sharing policies.
• Extract metadata about planned data types (e.g., clinical variables, prediction tool outputs) for cataloging research data assets.

Strengths

• The plan is authored by a named researcher (Emily Ray) from a known organization (ODUM Harvested Dataverse).
• The DMSP has a specific, documented focus on metastatic breast cancer and end-of-life care prediction.

Limitations

• The input provides no actual research data, only a plan describing future data; it is not a dataset for analysis.
• Key details like data volume (rows), variables (columns), file formats, and sample data are unavailable.

Provenance

Source

ODUM Harvested Dataverse

Collection Method

Harvested from a Dataverse repository.

Freshness

The plan's metadata was last updated on 2026-02-16.