WRDS US Patents

Overview

The WRDS US Patents dataset provides patent-level data linked to publicly traded companies, making it possible to study innovation and R&D output at the firm level.

What you can find here:

• Patent grants: patent number, grant date, application date, title
• Assignees: the firm or individual holding the patent, linked to GVKEY/PERMNO
• Patent citations: forward and backward citation counts
• Patent classes: technology classification (USPC, CPC)
• Inventor information: inventor names and locations

This data is widely used in research on corporate innovation, R&D productivity, and the market value of patents.

WRDS Access

• WRDS web interface: WRDS US Patents
• Python API library: patent
• Data dictionary: Link

Example

import wrds
conn = wrds.Connection()

# List available tables
conn.list_tables(library='patent')

For more examples, see the Python API notebook.

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See also: Company Information for annual reports, identifiers, and industry classification | News & Media for Nexis Uni and news datasets | WRDS for Compustat and other database access | Patent & Innovation Data for a global patent–firm linked dataset.