Abstract

MORESI, Eduardo Amadeu Dutra; PINHO, Isabel  and  HEDLER, Helga Cristina. Qualitative analysis of information recorded in patents. NTQR [online]. 2022, vol.12, e616.  Epub Aug 25, 2022. ISSN 2184-7770.  https://doi.org/10.36367/ntqr.12.2022.e616.

Patent is a valuable source of information to help evaluate trends in research, since it reveals the areas of innovation that inventors are focused on. Another relevant point is that it is public and reliable information. This paper aims to present an approach to generate subsidies for the qualitative interpretation of patents using the support of the conceptual structure of the R-Bibliometrix package. The methodology comprised data collection, detailing how the search was conducted in the Lens Database, and data analysis, which presents an overview of the R-Bibliometrix package and the conversion of the data to be imported and analyzed. This database allows preliminary analysis of technological outlooks using the resources available for visualization. The results show the 10 digrams extracted from the patent abstracts that have the highest frequencies; the dynamics of the technologies from the IPC codes, focusing on the evolution of the technology over time and the trend topics; the thematic map of the evolution of the concepts that were extracted from the abstracts of the granted patents and patent applications; and the microstructure of the technological routes of the researched topic. It is concluded that patents offer opportunities for information analysis with a focus on technology and innovation. Despite not meeting all the requirements of a qualitative analysis, the R-Bibliometrix package offers several resources that support the analysis of the conceptual structure with the visualization of conceptual and technological routes, as well as allowing other possibilities for analysis of the intellectual and social structure.

Keywords : Patent analysis; Bibliometrics; Content analysis; Bibliometrix; Qualitative data analysis..

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