Abstract
Big data innovation is a key instrument for economic and social development and for the creation of new business opportunities. This study analyzes the patenting activities of global jurisdictions in the field of big data; as well as the scholarly cited works. We collected 13,112 patent applications between 1992 and 2019, and 642 cited scholarly works by the patents. Our findings report on the development trends in big data technologies, as well as on the link between patenting activities and the cited scientific works. It also analyzes and visualizes the social networks embedded in patents and the cited scientific works; thus, it reveals the patenting activities of global jurisdictions on big data technologies, the strength of the interaction of various agents, such as inventors and applicants within social networks, and the link between patents and the scientific world. This study shows that most of the big data patent applications filed fall within the IPC category of information retrieval, database structures, and file system structures. The majority of the applicants and inventors of the patents filed are Chinese companies and individuals. Scientific fields with stronger connections within the network of co-fields are computer science and medicine. There is a weak link between inventions and scientific works.
Highlights
With the development of technologies capable of generating high data volumes at a rapid pace, a global effort has been made to develop solutions for better storage, processing and analysis of big data
The goal of this paper is to provide a comprehensive overview of the evolution of big data technology in order to track and characterize its trends over time and across jurisdictions, as well as to characterize its linkage and interaction with the scientific world
Descriptive bibliometric analysis We analyzed 13,112 patents and 642 scientific scholarly works cited in the patents
Summary
With the development of technologies capable of generating high data volumes at a rapid pace, a global effort has been made to develop solutions for better storage, processing and analysis of big data. Big data is considered to be a vital element in the economic and social development of businesses and societies [1]. With the machine subordination and growing use of social media, consumers are increasingly generating data about their behaviors and attitudes that could be purchased and recirculated like a commodity within the debt economy and may be used for marketing and other business strategies [2]. Saheb and Saheb J Big Data (2020) 7:12 information is patented [4]. This information may be used for a variety of purposes, such as discovering market trends or predicting future technological development
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