A Data Management and Sharing Plan outlines the scientific data to be generated for a clinical research project. The project investigates using a maximum inspiratory pressure monitor to predict postoperative breathlessness and improve the safety of brachial plexus blocks for shoulder surgery in obese patients. The plan was authored by Monika Nanda and is hosted by ODUM Harvested Dataverse.
Use Cases
- Designing data governance protocols for clinical trials based on the described management plan.
- Planning data sharing strategies for medical device research as outlined in the document.
- Studying metadata standards for research involving patient physiological monitoring.
- Analyzing frameworks for managing sensitive clinical data from studies on obese patients.
Strengths
- Plan authored by a named researcher (Monika Nanda), providing clear attribution.
- Focuses on a specific clinical application: predicting postoperative breathlessness in a defined patient population.
- Describes intent to generate scientific data for a research project with a clear objective.
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 clinical research project, as described in the plan.
- Time Range
- null
- Freshness
- Last updated 2026-04-27 03:10:19; freshness should be verified.
- Geography
- null