COVID-19 Research Publications and Funding Analysis Supplementary Data

Supplementary material for a paper analyzing funding for COVID-19 research using open data infrastructures. The material includes a dataset of COVID-19 publications, samples for assessing funding data accuracy, and statistics underlying the paper's tables and figures. The work was authored by researchers including Alexis-Michel Mugabushaka of the European Commission.

Use Cases

• Analyze funding patterns for COVID-19 research based on the publication dataset.
• Assess the accuracy of funding information across different databases using the provided sample data.
• Reproduce or extend the statistical analyses and visualizations presented in the associated paper.

Strengths

• Data is directly linked to a peer-reviewed academic paper, providing research context.
• Includes multiple components for analysis, validation, and reproducibility.

Limitations

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

Provenance

Source

European Commission

Collection Method

Likely compiled from open data infrastructures and databases for scientific publications.