Sciscinet V2: Scientific Publications with Funding, Patent, and Citation Networks

Sciscinet-v2 is a large-scale, integrated dataset designed for research in the science of science. It combines scientific publications with networks of relationships to funding sources, patents, citations, and institutional affiliations. The dataset was created by Northwestern-CSSI and was last updated on June 2, III.

Use Cases

• Analyze scientific productivity and collaboration patterns based on publication and institutional affiliation networks.
• Measure research impact and knowledge diffusion based on citation networks.
• Study the relationship between funding sources and research outcomes based on funding data.
• Investigate innovation and technology transfer based on linkages between publications and patents.

Strengths

• Dataset is described as large-scale and integrated, suggesting substantial scope.
• Combines multiple relationship types (funding, patents, citations, affiliations) into a single ecosystem.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

Northwestern-CSSI

Collection Method

Likely aggregated from multiple scientific publication and patent databases.

Time Range

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Freshness

Last updated 2025-06-02 15:13:32; freshness should be verified.

Geography

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