Gotz, David authored a Data Management and Sharing Plan for the research project 'Supervised Weighted Distances: Patient Similarity to Explain Clinical AI Models'. 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. It was last updated on 2026-04-27.
Use Cases
- Designing data governance frameworks based on the described management plan
- Planning data sharing strategies for clinical AI research projects
- Documenting data provenance and lifecycle for regulatory compliance
- Structuring metadata for patient similarity datasets
Strengths
- Plan authored by a named researcher, David Gotz
- Last update timestamp is provided (2026-04-27 03:10:10)
- Plan specifically addresses data for a clinical AI research project
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 and file formats are unknown, which may limit suitability assessment
Provenance
- Source
- Gotz, David via ODUM Harvested Dataverse
- Collection Method
- Likely authored as part of a research project proposal or grant requirement.
- Freshness
- Last updated 2026-04-27 03:10:10; freshness should be verified