Connecting Fundamental Science to Commercial Innovation: A Public Dataset of Patent-Paper Pairs

Matt Marx is the Bruce F. Failing, Sr. Chair in Entrepreneurship at the Cornell SC Johnson College of Business, and is the inaugural Faculty Director of Entrepreneurship@Cornell. He leads the Innovation Information Initiative (I3), curates several open datasets at relianceonscience.org, serves as Department Editor for Innovation & Entrepreneurship at Management Science, and is a Research Associate at the National Bureau of Economic Research (NBER). Matt was previously an executive and inventor at two successful startup companies and holds six patents.
We provide a dataset of Patent-Paper Pairs (PPPs) across all fields of science, linking articles from the Microsoft Academic Graph to patents granted by the USPTO as well as patent applications not granted. We train a random forest based on a combination of hand-checked PPPs and those containing extensive ‘self-plagiarism’, incorporating variables such as temporal distance, title/abstract similarity, inventor/author overlap, similarity of assignee and institution(s), overlap of backward citations, and being supported by the same grant. We employ this dataset to revisit the perennial question of whether the patent system fulfills its original objective to ‘promote the progress of science’ by comparing citations to PPPs to potential PPPs where the patent was not granted, instrumenting via examiner leniency. We find evidence disconfirming the “anticommons” view and moreover show that follow-on research is of higher quality and in a broader range of fields.
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