A Data Management and Sharing Plan outlines scientific data for a research project titled PREMIER. The project aims to predict the progression of Chronic Kidney Disease in patients with Sickle Cell Anemia using machine learning models. The plan was authored by Vimal Derebail and is hosted by ODUM Harvested Dataverse.
Use Cases
- Designing data governance frameworks based on the described data management plan
- Planning clinical data sharing protocols for machine learning research
- Structuring longitudinal health data for predictive modeling of CKD progression
Strengths
- Plan is associated with a specific, named research project (PREMIER) focused on a clinical prediction task
- Author and hosting organization (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 is unknown, which may limit suitability assessment
Provenance
- Source
- ODUM Harvested Dataverse
- Collection Method
- Generated as part of a research project's data management planning.
- Freshness
- Last updated 2026-05-11 03:10:25; freshness should be verified