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In this chapter we provide a brief introduction to The Lens patent database as a free source of data for patent analytics.
In this chapter we will use RStudio to prepare patent data for visualisation in an infographic using online software tools.
This document provides links to the chapters in the WIPO Manual on Open Source Patent Analytics. The chapters can be accessed online at the project website, and in
raw html formats. Note that these are the advanced unedited versions of the chapters and further work will be carried out on formatting and corrections to produce the final version.
In this article we look at the use of the
rplos package from rOpenSci to access the scientific literature from the Public Library of Science using the PLOS Search API. This article is part of work in progress on the WIPO Manual on Open Source Patent Analytics and focuses on how to retrieve scientific literature using R in RStudio.
This article highlights some applications of open patent data from the recent GovHack in Australia.
In this article we provide a quick introduction to the online graphing service Plotly to create graphics for use in patent analysis.
This article focuses on visualising patent data in networks using the open source software Gephi. Gephi is one of a growing number of free network analysis and visualisation tools with others including Cytoscape, Tulip, GraphViz, Pajek for Windows, and VOSviewer to name but a few. In addition, network visualisation packages are available for R and Python. We have chosen to focus on Gephi because it is a good all round network visualisation tool that is quite easy to use and to learn.
In this article we look at using open source Patent2Net software for accessing the European Patent Office Open Patent Service (OPS). Patent2Net can be used either through a Windows Client (in two versions) or using Python (across platforms). We will focus on the using the Windows Client as this is the simplest method.
This article provides an overview of the open source and free software tools that are available for patent analytics. The aim of the article is to serve as a quick reference guide for some of the main tools in the tool kit. We will go into some of these tools in more depth elsewhere in the WIPO Open Source Patent Analytics Manual and leave you to explore the rest of the tools for yourself.
This is Part 2 of an article introducing R for patent analytics that focuses on visualising patent data in R using the ggplot2 package.
This is the first part of a two part article on using R and the ggplot2 package to visualise patent data. In a previous article we looked at visualising pizza related patent activity in Tableau Public. In this article we look at how to plot our
pizza dataset using the
ggplot2 package in RStudio. You do not need to know anything about R to follow this article. You will however need to install RStudio Desktop for your operating system (see below).
In this article we will be analysing and visualising patent data using Tableau Public.
Cleaning patent data is one of the most challenging and time consuming tasks involved in patent analysis. In this article we will cover.
Patentscope is the WIPO public access database. It includes coverage of the Patent Cooperation Treaty applications (administered by WIPO) and a wide range of other countries including the European Patent Office, USPTO and Japan totalling 45 million patent documents including 2.7 million PCT applications.
This article provides a quick overview of some of the main sources of free patent data. It is intended for quick reference and points to some free tools for accessing patent databases that you may not be familiar with.
Patent researchers and professionals are increasingly using open source and free software tools as part of their work. We are working to develop a WIPO Manual on open source and free software tools with support from the WIPO Secretariat. The idea is to identify existing tools and develop materials that will help researchers and professionals to work with these tools in common patent analysis tasks.
In this article we introduce the patent datasets developed for the Open Source Patent Analytics Project as training sets for patent analytics. The datasets will be used for the walkthroughs developed by the project. The datasets will grow over time but we will briefly introduce them and explain how to access them.
This is part of a series on getting started with patent analysis in R using RStudio. If you do not have a copy of RStudio follow the simple instructions for installing on your platform here. There are lots of resources on the site to help you get started including online learning, videos, and cheatsheets. The excellent R-Bloggers site will demonstrate why it is worth investing time in R when working with patent data.
As part of the WIPO Manual on Open Source Patent Analytics project we will be working with patent data in R using RStudio. If you do not have a copy of RStudio follow the simple instructions for installing on your platform here. There are lots of resources on the site to help you get started including online learning, videos, and cheatsheets. The excellent R-Bloggers site will demonstrate why it is worth investing time in R when working with patent data.
This article provides a walk through of patent data fields for those who are completely new to patent analytics or want to understand the workings of patent data a little bit better. A video version of the walk through is available here and the slide deck is available for download in .pdf, powerpoint and apple keynote from GitHub. This article goes into greater depth on each data field and their use in patent analysis.
The aim of this project is to provide an overview and practical manual on the use of open source and free software tools for patent analysis. The main outcome of the project will be an Open Source Patent Analytics Manual as a reference guide and a set of electronic resources including walkthroughs, videos and code that can be freely used by anyone. The development of the Manual is supported by the World Intellectual Property Organisation (WIPO) as part of its Patent Landscapes Project which has produced a range of patent landscape reports to inform policy debates and decision-making on issues of interest to developing countries. The Manual is mainly intended for researchers, patent professionals and patent offices in developing countries. However, we expect that it will be of wider interest to researchers and patent professionals.