Search
Profile

Ask your question

Close

What Is Patent Data?

Patents are proprietary inventions that are registered with governmental and intergovernmental bodies. These inventions may be machines, manufacturing processes, compositions, improvements on earlier patents—the only requirements are that they be new, useful, and not obvious. 

Patent data is the collection and analysis of information about patents.

Where Does Patent Data Come From?

This data is publicly available, though difficult to comb through for several reasons. First, not all inventors choose to or are able to apply for patents with more than one country or with international bodies. Second, those who do may not register their trademarks simultaneously, leading to a year or nearly two years delay in registering patents at the least. Thirdly, the sheer volume of patent data, even restricted to just one country, can be overwhelming.

Aside from national patent offices, there are international bodies with public databases to search through (though they may require you sign up for an account at their site, as the WIPO IP Portal does). Freely accessible patent databases that do not require you to sign up for accounts include the WIPO PATENTSCOPE database and the WIPO DAS (Digital Access Service), and the EPO’s Espacenet. 

Private companies also provide patent data, often with services like analytics or browser add-ons that provide patent information for companies whose professional pages you browse, as IPQwery offers. 

What Types of Columns/Attributes Should I Expect When Working with This Data?

Common attributes of patent data include inventor, nation, publication number, publication data, invention title or description or abstract. Databases should also have historical information on patents, such as changes in patent ownership. Additionally, some databases record the inventor’s sex, in order to determine whether a country or region offers gender parity in inventions.

What Is This Data Used For?

This data is primarily used for reference and research. Across all industries and organizational levels, patent data provides key information. 

For example, individual inventors or development teams use this data to determine whether there is even a need to continue in their development efforts. On the other hand, developers can use patent data as inspiration for their own efforts or as sources of likely partners in research and development. Managers and other decision-makers can use the data to conduct competitor or market research on industries or nations. Finally, policy-makers use this data to propose improvements in economic activity or education.

How Should I Test the Quality of Patent Data?

This data has already been reviewed by potentially hundreds of people before being made available in databases. Therefore, there is little need for quality control of the data itself. 

Where problems tend to occur is in the search process and the analysis of the data itself. Not all patents are discovered early in the research and development stages (example) even if individuals perform their searches properly. 

Additionally, for proper search and evaluation, note that patent titles do not always give a complete picture of the invention itself. Any dataset analysis should cover the entire text of the patent. NLP models are very helpful here. 

If you choose to use a data vendor like one of the ones in our site, consider their reputation and request a sample dataset to check for completeness, consistency, timeliness, and relevancy of the data to your needs. 

Interesting Case Studies and Blogs to Look Into

General Information:

WIPO – World Intellectual Property Organization

Espacenet – patent search

What is the Difference Between a Copyright, Patent and Trademark?

PCT – The International Patent System

WIPO: Patent Cooperation Treat Yearly Review 2020

IPR Helpdesk: Library

Case Studies:

GQ LifeSciences: GenomeQuest: An IP Manager’s Story

IP Qwery: Twitter Vs Snapchat: The IP Smackdown

Derwent Innovation: Keeping track of global patent data 

Tangible Examples of Impact

“Patents are widely used as an indicator of how much innovation is taking place, where and in which fields. Taking a deeper look at the data can therefore provide a range of insights into innovation in [the renewable energy] sector.”

Wipo Magazine, No. 1, March 2020

“Nano cap Therapeutic Solutions International (OTCPK:TSOI +50.0%) jumps on 32% higher volume in reaction to its announcement that is has filed a patent application with the USPTO covering the use of QuadraMune and type 2 diabetes med metformin to treat COVID-19-associated lung damage.”

Seeking Alpha: Therapeutic Solutions up big on patent filing for QuadraMune in COVID-19

Examples of patent analytics to inspire future innovation in agriculture include monitoring highly productive academic groups or start-ups to identify potential targets for collaboration; automatically scanning publicly available data on competitor portfolios and patent applications7 ; extracting features from patents (such as chemical formulae) to reveal movements in global product development; and identifying emerging trends—which may be counterintuitive—to inform research and development”

McKinsey: Needle in a haystack: Patents that inspire agricultural innovation

Relevant datasets

DataMe Previous Loans

by

Previous Loans provides a tool to refine your analysis by looking at past loan payments.

0 (0)   Reviews (0)

DataMe Real Estate

by

Real Estate feature allows you to view person-related properties and improve the automated decision-making process.

0 (0)   Reviews (0)

Darts-ip IP Cases Databases

by

IP Cases Databases allows you to search for cases around the world based on a number of IP criteria and issues.

0 (0)   Reviews (0)