Patent data contains a treasure trove of information that is of great value to innovators, business leaders and policy makers. Open analytics is all about unlocking that treasure trove using open source tools. The insights that you create, share and develop using open analytics support new innovations, more informed customers, and help us engage and promote data transparency/innovation in new constructive ways. Not only does this bring more intelligence to technology trends, but when new insights are shared, it also has the opportunity to bring powerful advancements to improve people lives across the globe.
A huge thanks to the World Intellectual Property Organization (WIPO) for the time and effort developing this material which can be found at https://github.com/wipo-analytics.
Cleaning patent data is one of the most challenging and time consuming tasks involved in patent analysis. In this...
Patentscope is the WIPO public access database. It includes coverage of the Patent Cooperation Treaty applications (...
This article provides a quick overview of some of the main sources of free patent data. It is intended for quick...
Patent researchers and professionals are increasingly using open source and free software tools as part of their...
In this article we introduce the patent datasets developed for the Open Source Patent Analytics Project as training...
This is part of a series on getting started with patent analysis in R using RStudio. If you do not have a copy of...
As part of the WIPO Manual on Open Source Patent Analytics project we will be working with patent data in R using...
This article provides a walk through of patent data fields for those who are completely new to patent analytics or...