Data Management and Sharing Plan for an Individualized Deep Connectome Framework

A Data Management and Sharing Plan authored by Gang Li outlines the strategy for handling scientific data generated for the project 'Developing an Individualized Deep Connectome Framework for ADRD Analysis'. The plan describes the data to be used and shared, but specific details on volume, format, and structure are not provided. It was last updated on May 4, 2026.

Use Cases

• Designing a data governance framework for neuroimaging studies based on the described management strategy
• Auditing research data compliance against a formal sharing plan
• Planning computational infrastructure for connectome data storage and distribution
• Developing metadata standards for ADRD (Alzheimer's Disease and Related Dementias) research data

Strengths

• Plan is authored by a named researcher (Gang Li), providing clear accountability
• Explicitly describes a strategy for managing and sharing project data
• Has a specific future update timestamp (2026-05-04)

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Row count, file formats, and column-level documentation are absent
• The document is a plan, not the dataset itself; data availability is not guaranteed

Provenance

Source

Gang Li, ODUM Harvested Dataverse

Collection Method

Authored as a research data management plan

Time Range

Project timeframe is not specified

Freshness

Last updated 2026-05-04 03:10:29; freshness should be verified

Geography

Geographic coverage is not specified