Data Management Plan for Patient Medication Management Research

A Data Management and Sharing Plan outlines the scientific data to be generated and used for a research project titled 'Extract, Predict, Support: Improving Patient Medication Management and Outcomes from Clinical Data to Decision Support'. The plan describes the strategy for managing and sharing project data. It was authored by Shawn O'Neil and last updated on May 4, 2026.

Use Cases

• Designing data governance frameworks based on the described management and sharing strategy.
• Planning data pipelines for clinical research projects involving medication outcomes.
• Structuring data sharing agreements for collaborative healthcare studies.
• Developing metadata standards for clinical datasets referenced in the plan.

Strengths

• Plan is associated with a specific research project focused on medication management and decision support.
• Last update timestamp is precisely recorded as 2026-05-04 03:10:40.
• Author and organizational source (ODUM Harvested Dataverse) are explicitly named.

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.
• Row count, file formats, and sample data are unknown, which may limit suitability assessment.

Provenance

Source

ODUM Harvested Dataverse

Collection Method

Likely authored as part of a research grant or project proposal.

Time Range

Plan last updated 2026-05-04; project temporal coverage is unknown.

Freshness

Last updated 2026-05-04 03:10:40; freshness should be verified.

Geography

Spatial coverage is not specified.