Cancer Comparative Effectiveness Research Data from Literature and Expert Interviews

A collection of datasets for cancer comparative effectiveness research, identified and categorized through a literature review and interviews with 41 researchers. The data was compiled by Anne-Marie Meyer at the University of North Carolina at Chapel Hill. The datasets are organized into an ontology of 8 categories, characterized by their strengths, weaknesses, and utility.

Use Cases

• Identify challenges in cancer comparative effectiveness research based on themes from expert interviews.
• Categorize existing healthcare data sources for cancer research based on the described 8-category ontology.
• Inform policy on data governance and access based on recommendations highlighted in the description.
• Guide multidisciplinary study design for cancer care based on the described need for diverse expertise.

Strengths

• Data identification involved interviews with 41 cancer CER researchers.
• Datasets are differentiated into a structured ontology of 8 categories.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of North Carolina at Chapel Hill

Collection Method

Literature review and semi-structured interviews with researchers from the DEcIDE Cancer CER Consortium.