Patent research is a critical task for informing R&D investment, identifying emerging competitive threats, evaluating potential infringement and making key business decisions.
However, the patent data that R&D, IP and competitive intelligence professionals use when performing research varies widely. Many researchers use patent data which deviates very little from how it was originally published.
This data has undergone a minimal level of normalization and correction.
Duplicated publications aren’t condensed, which creates a lot of extra noise.
More critically, key data, such as the legal status or assignee, is often missing, the titles aren’t very descriptive and abstracts are difficult to read and difficult to count, due to duplication of patent publication.
This can lead patent researchers to potentially draw inaccurate conclusions or spend too much time tracking down the right answer.
In this e-book, we share some of the most common pitfalls of patent research, and how you can avoid them to: