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Context

Google Patents Public Data, provided by IFI CLAIMS Patent Services, is a worldwide bibliographic and US full-text dataset of patent publications. Patent information accessibility is critical for examining new patents, informing public policy decisions, managing corporate investment in intellectual property, and promoting future scientific innovation. The growing number of available patent data sources means researchers often spend more time downloading, parsing, loading, syncing and managing local databases than conducting analysis. With these new datasets, researchers and companies can access the data they need from multiple sources in one place, thus spending more time on analysis than data preparation.

Content

The Google Patents Public Data dataset contains a collection of publicly accessible, connected database tables for empirical analysis of the international patent system.

Acknowledgements

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:patents

For more info, see the documentation at https://developers.google.com/web/tools/chrome-user-experience-report/

“Google Patents Public Data” by IFI CLAIMS Patent Services and Google is licensed under a Creative Commons Attribution 4.0 International License.

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Context

The Office Action Research Dataset for Patents contains detailed information derived from the Office actions issued by patent examiners to applicants during the patent examination process. The “Office action” is a written notification to the applicant of the examiner’s decision on patentability and generally discloses the grounds for a rejection, the claims affected, and the pertinent prior art.

Content

This initial release consists of three files derived from 4.4 million Office actions mailed during the 2008 to mid-2017 period from USPTO examiners to the applicants of 2.2 million unique patent applications.

Acknowledgements

A working paper describing this dataset is available and can be cited as Lu, Qiang and Myers, Amanda F. and Beliveau, Scott, USPTO Patent Prosecution Research Data: Unlocking Office Action Traits (November 20, 2017). USPTO Economic Working Paper No. 2017-10. Available at SSRN: https://ssrn.com/abstract=3024621 (link is external).

This effort is made possible by the USPTO Digital Services & Big Data portfolio and collaboration with the USPTO Office of the Chief Economist (OCE). The OCE provides these data files for public use and encourages users to identify fixes and improvements. Please provide all feedback to: EconomicsData@uspto.gov.

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:uspto_oce_office_actions

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Context

The original release of the Patent Examination Research Dataset (PatEx) contains detailed information on 9.2 million publicly viewable patent applications filed with the USPTO through December 2014. Currently, two updates of the dataset are available as well, the most recent posted in November 2017 (and referred to as the 2016 release). This latest release covers all activity through 2016, but also includes activity through late June of 2017. It is called the 2016 release because 2016 is the latest year for which PatEx provides information on all activities. There are several data files, each of which coincides with a tab on USPTO’s Public PAIR web portal. The data files include information on each application’s characteristics, prosecution history, continuation history, claims of foreign priority, patent term adjustment history, publication history, and correspondence address information.

Content

USPTO Patent Examination Research Data (PatEx) contains detailed information on millions of publicly viewable patent applications filed with the USPTO. The data are sourced from the Public Patent Application Information Retrieval system (Public PAIR).

Acknowledgements

“USPTO Patent Examination Research Dataset” by the USPTO, for public use. Graham, S. Marco, A., and Miller, A. (2015). “The USPTO Patent Examination Research Dataset: A Window on the Process of Patent Examination.”

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:uspto_oce_pair

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Context

The USPTO grants US patents to inventors and assignees all over the world. For researchers in particular, PatentsView is intended to encourage the study and understanding of the intellectual property (IP) and innovation system; to serve as a fundamental function of the government in creating “public good” platforms in these data; and to eliminate redundant cleaning, converting and matching of these data by individual researchers, thus freeing up researcher time to do what they do best—study IP, innovation, and technological change.

Content

PatentsView Data is a database that longitudinally links inventors, their organizations, locations, and overall patenting activity. The dataset uses data derived from USPTO bulk data files.

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Acknowledgements

“PatentsView” by the USPTO, US Department of Agriculture (USDA), the Center for the Science of Science and Innovation Policy, New York University, the University of California at Berkeley, Twin Arch Technologies, and Periscopic, used under CC BY 4.0.

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:patentsview

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patCit: A Comprehensive Dataset of Patent Citations [Newsletter, GitHub] Patents are at the crossroads of many innovation nodes: science, industry, products, competition, etc. Such interactions can be identified through citations in a broad sense. It is now common to use front-page patent citations to study some aspects of the innovation system. However, there is much more buried in the Non Patent Literature (NPL) citations and in the patent text itself. patCit extracts and structures these citations. Want to know more? Read patCit academic presentation or dive into usage and technical guides on patCit documentation website. IN PRACTICE At patCit, we are building a comprehensive dataset of patent citations to help the community explore this terra incognita. patCit has the following features: global coverage front-page and in-text citations all categories of NPL documents Front-page patCit builds on DOCDB, the largest database of Non Patent Literature (NPL) citations. First, we deduplicate this corpus and organize it into 10 categories (bibliographical reference, database, norm & standard, etc). Then, we design and apply category specific information extraction models using spaCy. Eventually, when possible, we enrich the data using external domain specific high quality databases (e.g. Crossref for bibliographical references). In-text patCit builds on Google Patents corpus of USPTO full-text patents. First, we extract patent and bibliographical reference citations. Then, we parse detected in-text citations into a series of category dependent attributes using grobid. Patent citations are matched with a standard publication number using the Google Patents matching API and bibliographical references are matched with a DOI using biblio-glutton. Eventually, when possible, we enrich the data using external domain specific high quality databases (e.g. Crossref for bibliographical references). FAIR Find - The patCit dataset is available on BigQuery in an interactive environment. For those who have a smattering of SQL, this is the perfect place to explore the data. It can also be downloaded on Zenodo. Interoperate - Interoperability is at the core of patCit ambition. We take care to extract unique identifiers whenever it is possible to enable data enrichment for domain specific high quality databases. This includes the DOI, PMID and PMCID for bibliographical references, the Technical Doc Number for standards, the Accession Number for Genetic databases, the publication number for PATSTAT and Claims, etc. See specific table for more details. Reproduce - Our gitHub repository is the project factory. You can learn more about data recipes and models on the patCit documentation website.

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Context

Patent Examination Data System gives users access to multiple records of USPTO patent application or patent filing status at no cost. PEDS is updated daily and mirrors the data available in the Patent Application Location and Monitoring system (PALM). PEDS provides access to public applications including: published patent applications and patents. PCT applications that have not been published by WIPO. Any applications that have not been released by the USPTO will not be available in PEDS.

Content

USPTO Patent Examiner Data System (PEDS) API Data contains data from the examination process of USPTO patent applications. PEDS contains the bibliographic, published document and patent term extension data tabs in Public PAIR from 1981 to present. There is also some data dating back to 1935.

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Acknowledgements

"Patent Examination Data System" by the USPTO, for public use.

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:uspto_peds

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Context

This curated dataset consists of 269,353 patent documents (published patent applications and granted patents) spanning the 1976 to 2016 period and is intended to help identify promising R&D on the horizon in diagnostics, therapeutics, data analytics, and model biological systems.

Content

USPTO Cancer Moonshot Patent Data was generated using USPTO examiner tools to execute a series of queries designed to identify cancer-specific patents and patent applications. This includes drugs, diagnostics, cell lines, mouse models, radiation-based devices, surgical devices, image analytics, data analytics, and genomic-based inventions.

Acknowledgements

“USPTO Cancer Moonshot Patent Data” by the USPTO, for public use. Frumkin, Jesse and Myers, Amanda F., Cancer Moonshot Patent Data (August, 2016).

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:uspto_oce_cancer

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Context

The Patent Claims Research Dataset contain detailed information on claims from U.S. patents granted between 1976 and 2014 and U.S. patent applications published between 2001 and 2014. The dataset is derived from the Patent Application Publication Full-Text and Patent Grant Full Text files, available at https://bulkdata.uspto.gov/, to which the Office of Chief Economist (OCE) applied a Python algorithm to identify individual claims as well as the dependency relationship between claims. From the parsed claims text, OCE created six data files containing individually-parsed claims, claim-level statistics, and document-level statistics, including newly-developed measures of patent scope.

Content

USPTO OCE Patent Claims Research data contains detailed information on claims from U.S. patents granted between 1976 and 2014 and U.S. patent applications published between 2001 and 2014.

Acknowledgements

"USPTO OCE Patent Claims Research Data" by the USPTO, for public use. Marco, Alan C. and Sarnoff, Joshua D. and deGrazia, Charles, "Patent Claims and Patent Scope" (October 2016). USPTO Economic Working Paper 2016-04.

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:uspto_oce_claims

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The dataset consists of green technology patents sourced from the "patents-public-data.patents.publications" dataset and is structured in three versions:

• Version 1: Contains 30,000 records up until 2022.
• Version 2: Includes all records published in 2022.
• Version 3: Contains records published from 2022 to 2024.

All versions are sorted by publication date, with the most recent patents listed first and provided in JSON format.

Selection Criteria: The patents included in this dataset are filtered based on keywords related to renewable energy and sustainable technology solutions. The SQL query utilizes regular expressions to search for terms such as "solar energy," "photovoltaics," "hydropower," "hydrogen energy," "geothermal energy," "wind energy," and "carbon capture and storage/e-mobility" within both the abstract and title of the patents.

Data Source: The data is sourced from the publicly accessible Google Patents dataset, which aggregates global patent information.

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Context

The CPC is the result of a partnership between the EPO and the USPTO in their joint effort to develop a common, internationally compatible classification system for technical documents, in particular patent publications, which will be used by both offices in the patent granting process.

Content

Cooperative Patent Classification Data contains the scheme and definitions of the Cooperative Patent Classification system for classifying patent documents.

Acknowledgments

“Cooperative Patent Classification” by the EPO and USPTO, for public use. Modifications have been made to parse the XML description sections to extract references to other classification symbols.

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:cpc

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Context

OCE collected all of the data from the Public Access to Court Electronics Records (PACER) and RECAP, an independent project designed to serve as a repository for litigation data sourced from PACER. The final output datasets include information on the litigating parties involved and their attorneys; the cause of action; the court location; important dates in the litigation history; and descriptions of all documents submitted in a given case, which cover more than 5 million separate documents contained in the case docket reports.

Content

USPTO OCE Patent Litigation Docket Reports Data contains detailed patent litigation data on 74,623 unique district court cases filed during the period 1963-2015.

Acknowledgements

"USPTO OCE Patent Litigation Docket Reports Data" by the USPTO, for public use. Marco, A., A. Tesfayesus, A. Toole (2017). “Patent Litigation Data from US District Court Electronic Records (1963-2015).” USPTO Economic Working Paper No. 2017-06.

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:uspto_oce_litigation

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Context

The Office of the Chief Economist (OCE) is responsible for advising the Under Secretary of Commerce for Intellectual Property and Director of the USPTO on the economic implications of policies and programs affecting the U.S. intellectual property (IP) system. The office disseminates detailed patent and trademark data, undertakes research, and conducts economic analysis on a variety of IP issues. OCE works with policy makers, collaborates with academics, and engages the public more generally through conferences it organizes, the publicly accessible research datasets it provides, and its publications.

Content

The USPTO OCE Patent Assignment Dataset contains detailed data patent assignments and other transactions recorded at the USPTO since 1970.

Acknowledgements

"USPTO OCE Patent Assignment Data" by the USPTO, for public use. Marco, Alan C., Graham, Stuart J.H., Myers, Amanda F., D'Agostino, Paul A and Apple, Kirsten, "The USPTO Patent Assignment Dataset: Descriptions and Analysis" (July 27, 2015).

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:uspto_oce_assignment

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Context

ChEMBL is maintained by the European Bioinformatics Institute (EBI), of the European Molecular Biology Laboratory (EMBL), based at the Wellcome Trust Genome Campus, Hinxton, UK.

Content

ChEMBL is a manually curated database of bioactive molecules with drug-like properties used in drug discovery, including information about existing patented drugs.

Schema: http://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBLdb/releases/chembl_23/chembl_23_schema.png

Documentation: http://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBLdb/releases/chembl_23/schema_documentation.html

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Acknowledgements

“ChEMBL” by the European Bioinformatics Institute (EMBL-EBI), used under CC BY-SA 3.0. Modifications have been made to add normalized publication numbers.

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:ebi_chembl

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