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3PFL project Gaétan de Rassenfosse Emilio Raiteri Data Dissemination Contact Us

3PFL: Database of Patents and Publications with a Public-Funding Linkage

Summary

The 3PFL database links information on patented inventions and scientific publications related to a public procurement contract or a research grant awarded by the U.S. Federal Government to detailed contract-level/grant-level information (e.g., awarding agency, recipient organization, award size).

We have combined data from multiple sources, including the United States Patent and Trademark Office bulk database, the Federal Procurement Database System, the Award Submission Portal (ASP), the European Patent Office's PATSTAT database, and the Clarivate Analytics’ Web of Science database.

The 3PFL database provides rich and original information that opens the door to novel empirical research in the economics of innovation and science.

The Chair of Innovation and IP Policy at EPFL is the main provider of funds for this project. Dr. Raiteri gratefully acknowledges financial support from the "EPFL Fellows co-funded by Marie Skłodowska-Curie" program for the project "Innovative Public Procurement as Innovation Policy" (Action: H2020-MSCA-COFUND-2015, Grant Agreement Number: 665667).

Reference Article

An article is in preparation and will be available in Q4 2017.

Data

The first version of the database will be made publicly available in Q4 2017.

Dissemination

The 3PFL project and some of our papers exploiting the data were presented at various workshops and conferences including:

The 7th ZEW/MaCCI Conference on the Economics of Innovation and Patenting,
May 16th, 2017, Zentrum für Europäische Wirtschaftsforschung, Mannheim, Germany.

The 4th VPDE-BRICK Workshop in Economics of Innovation, Complexity, and Knowledge,
December 16th 2016, Collegio Carlo Alberto, Moncalieri, Italy.

The 11th Annual conference of the European Policy for Intellectual Property Association (EPIP),
September 3-5 2016, Pembroke College, Oxford, United Kingdom.

Contact Us

We welcome any comments on the article and the data.

Please send us an email to hello@3pfl.io.