Blockchain patent landscaping: An expert based methodology and search query
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BlockchainPatentesEPOEuropean Patent Office
World Patent Information 61 (2020) 101964
SponsorshipThe present article is based on a patent data study that was commissioned by the European Patent Office, Department 188.8.131.52 Patent Information research, with the aim of demonstrating to readers outside the disci- plines of patent analysis and Blockchain technologies, how patent in- formation can be used to gain insight and competitive advantages about a specific technological field. Additional bibliometric analysis, for the purposes of the present article, was supported by the Spanish Ministry of Science Innovation and Universities under the framework R&D project “Detection of Spanish technology for connected Industry 4.0 in Euro- pean patent offices”.
The present study is concerned with the emergence of Blockchain related technologies in terms of patenting activity. Blockchain has captured the attention of the public and research has intensified in this field over the last few years, making it a highly interesting topic of study for a patent analysis in order to obtain insight into the developments of this emerging technology. In this paper we present a unique methodology and exhaustive search strategy for identifying Blockchain patent documents by using a combination of specific keywords and patent classifications. This query was built in cooperation with subject matter experts of the European Patent Office (EPO). Our keyword set was then analysed by relevance and was prioritised. The set of specific relevant patent classifications was furthermore combined with keywords in order to exclude false positives. With our method- ology we present an exhaustive query for retrieving a highly relevant dataset of Blockchain related patents, extracted from the EPO databases that can be used for patent landscaping exercises or any other bibliometric analysis. In a case study we applied the search strategy to analyse worldwide Blockchain patenting from 2008 till 2018. The results are presented in this paper.