Data Management and Sharing Plan for Predictors of Nociplastic Pain after Cardiac Surgery

A Data Management and Sharing Plan authored by Lauriane Guichard outlines the strategy for managing and sharing scientific data generated for research on predictors of nociplastic pain after cardiac surgery requiring intensive care. The plan was harvested by ODUM and last updated on May 4, 2026. It describes the data to be used and the framework for its stewardship.

Use Cases

• Designing data collection protocols for clinical studies based on the described management framework.
• Implementing FAIR data principles for medical research based on the sharing strategy outlined.
• Planning secondary data analysis projects based on the described scientific data scope.
• Training researchers on data management plan creation using this document as a template.

Strengths

• Provides a formal, authored plan for data management and sharing, which suggests structured intent.
• Last updated date is specified as 2026-05-04, indicating recent maintenance.

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, file formats, and specific data content are unknown from the provided metadata.

Provenance

Source

Lauriane Guichard, ODUM Harvested Dataverse

Collection Method

Harvested from a Dataverse repository; likely a formal research data management plan.

Time Range

The plan's temporal coverage for the underlying research data is not specified.

Freshness

Last updated 2026-05-04 03:10:36

Geography

The geographic scope of the underlying research data is not specified.