Patent Similarity Data and Innovation Metrics

25 Pages Posted: 10 Sep 2020 Last revised: 5 Oct 2020

See all articles by Ryan Whalen

Ryan Whalen

National University of Singapore (NUS) - Faculty of Law

Alina Lungeanu

Northwestern University - School of Communication

Leslie DeChurch

Northwestern University - School of Communication

Noshir Contractor

Northwestern University - McCormick School of Engineering and Applied Science; Northwestern University; Northwestern University; Northwestern University

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Date Written: September 2020

Abstract

We introduce and describe the Patent Similarity Dataset, comprising vector space model‐based similarity scores for U.S. utility patents. The dataset provides approximately 640 million pre‐calculated similarity scores, as well as the code and computed vectors required to calculate further pairwise similarities. In addition to the raw data, we introduce measures that leverage patent similarity to provide insight into innovation and intellectual property law issues of interest to both scholars and policymakers. Code is provided in accompanying scripts to assist researchers in obtaining the dataset, joining it with other available patent data, and using it in their research.

Suggested Citation

Whalen, Ryan and Lungeanu, Alina and DeChurch, Leslie and Contractor, Noshir, Patent Similarity Data and Innovation Metrics (September 2020). Journal of Empirical Legal Studies, Vol. 17, Issue 3, pp. 615-639, 2020, Available at SSRN: https://ssrn.com/abstract=3689728 or http://dx.doi.org/10.1111/jels.12261

Ryan Whalen (Contact Author)

National University of Singapore (NUS) - Faculty of Law ( email )

469G Bukit Timah Road
Eu Tong Sen Building
Singapore, 259776
Singapore

Alina Lungeanu

Northwestern University - School of Communication ( email )

70 Arts Circle Drive
Office of the Dean
Evanston, IL 60208
United States

Leslie DeChurch

Northwestern University - School of Communication ( email )

70 Arts Circle Drive
Office of the Dean
Evanston, IL 60208
United States

Noshir Contractor

Northwestern University - McCormick School of Engineering and Applied Science ( email )

2145 Sheridan Road
Evanston, IL 60208-1230
United States

Northwestern University ( email )

2145 Sheridan Road
Room C210
Evanston, IL 60208
United States
2173906270 (Phone)

Northwestern University ( email )

Evanston, IL
United States
2173906270 (Phone)

Northwestern University ( email )

70 Arts Circle Drive
Office of the Dean
Evanston, IL 60208
United States
2173906270 (Phone)

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