Data Management and Sharing Plan for: Glucose Instability and Neurocognitive Outcomes in O

A Data Management and Sharing Plan outlines the strategy for handling scientific data from a research project on glucose instability and neurocognitive outcomes in older adults. The plan was authored by David Couper and harvested by ODUM for the Dataverse platform. It was last updated on April 27, 2026.

Use Cases

• Designing data governance frameworks for clinical studies based on the described management plan structure.
• Planning data sharing protocols for neurocognitive research based on the outlined strategy.
• Referencing example documentation for research projects involving older adult populations and metabolic health metrics.

Strengths

• The plan has a specific author (David Couper) and a clear last update timestamp (2026-04-27 03:11:30).
• It focuses on a defined research topic: glucose instability and neurocognitive outcomes in older adults.

Limitations

• The description is a generic plan template; the actual research data content, size, and structure are unknown.
• Column-level documentation and sample data are unavailable, making field semantics and data quality impossible to assess from metadata.
• Row count and file formats are unspecified, limiting suitability assessment for analysis.

Provenance

Source

ODUM Harvested Dataverse

Collection Method

Harvested from the Dataverse platform; original data generation method is not specified.

Freshness

Last updated 2026-04-27 03:11:30; freshness should be verified.