A Data Management and Sharing Plan outlines the scientific data strategy for an STTR project focused on SV2A PET tracers. The plan describes data to be generated for scalable cGMP production using photoredox chemistry, intended for clinical trials and early Alzheimer's disease diagnosis. It was authored by Zhanhong Wu and harvested by ODUM.
Use Cases
- Designing data governance frameworks based on the described data management strategy
- Planning clinical trial data sharing protocols for Alzheimer's disease research
- Structuring data pipelines for cGMP production processes in pharmaceutical development
- Developing metadata standards for PET tracer research data
Strengths
- Plan authored by a named individual (Zhanhong Wu), providing direct accountability.
- Specific focus on SV2A PET tracers and photoredox chemistry for a defined application in Alzheimer's disease.
Limitations
- The description metadata is limited; actual data quality and content require manual inspection after download.
- Row count, file formats, and column-level documentation are absent, limiting suitability assessment.
Provenance
- Source
- ODUM Harvested Dataverse
- Collection Method
- Harvested from a Dataverse repository.
- Freshness
- Last updated 2026-04-27 03:11:34; freshness should be verified.