<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2184-7770</journal-id>
<journal-title><![CDATA[New Trends in Qualitative Research]]></journal-title>
<abbrev-journal-title><![CDATA[NTQR]]></abbrev-journal-title>
<issn>2184-7770</issn>
<publisher>
<publisher-name><![CDATA[Ludomedia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2184-77702022000300020</article-id>
<article-id pub-id-type="doi">10.36367/ntqr.12.2022.e616</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Análise qualitativa de informações registradas em patentes]]></article-title>
<article-title xml:lang="en"><![CDATA[Qualitative analysis of information recorded in patents]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moresi]]></surname>
<given-names><![CDATA[Eduardo Amadeu Dutra]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pinho]]></surname>
<given-names><![CDATA[Isabel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hedler]]></surname>
<given-names><![CDATA[Helga Cristina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade Católica de Brasília  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade de Aveiro  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Portugal</country>
</aff>
<pub-date pub-type="pub">
<day>31</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>31</day>
<month>08</month>
<year>2022</year>
</pub-date>
<volume>12</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S2184-77702022000300020&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S2184-77702022000300020&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S2184-77702022000300020&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo: Uma patente é uma fonte de informação valiosa para auxiliar a avaliação de tendências na pesquisa, uma vez que revelam as áreas de inovação que os inventores estão focados. Outro ponto relevante é que são informações públicas e confiáveis. Este artigo tem o objetivo de apresentar uma abordagem para gerar subsídios para a interpretação qualitativa de patentes utilizando o apoio da estrutura conceitual do pacote R-Bibliometrix. A metodologia compreendeu a coleta de dados, detalhando como a pesquisa foi realizada na Base Lens, e a análise dos dados, que apresenta uma síntese do pacote R-Bibliometrix e da conversão dos dados para serem importados e analisados. Esta base permite análises preliminares de panoramas tecnológicos com a utilização dos recursos disponíveis para a visualização. Os resultados mostram os 10 digramas extraídos dos resumos das patentes que possuem as maiores frequências; a dinâmica das tecnologias a partir dos códigos IPC, focando na evolução da tecnologia ao longo do tempo e os tópicos de tendências; o mapa temático da evolução dos conceitos que foram extraídos dos resumos das patentes concedidas e submetidas; e a microestrutura das rotas tecnológicas do tema pesquisado. Conclui-se que as patentes oferecem oportunidades de análise de informações com foco em tecnologia e inovação. Apesar de não atender todos os requisitos de uma análise qualitativa, o pacote R-Bibliometrix oferece diversos recursos que apoiam a análise da estrutura conceitual com a visualização de rotas conceituais e tecnológicas, além de permitir outras possibilidades de análises da estrutura intelectual e social.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: 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.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[Análise de patentes]]></kwd>
<kwd lng="pt"><![CDATA[Bibliometria]]></kwd>
<kwd lng="pt"><![CDATA[Análise de conteúdo]]></kwd>
<kwd lng="pt"><![CDATA[Bibliometrix]]></kwd>
<kwd lng="pt"><![CDATA[Análise de dados qualitativos.]]></kwd>
<kwd lng="en"><![CDATA[Patent analysis]]></kwd>
<kwd lng="en"><![CDATA[Bibliometrics]]></kwd>
<kwd lng="en"><![CDATA[Content analysis]]></kwd>
<kwd lng="en"><![CDATA[Bibliometrix]]></kwd>
<kwd lng="en"><![CDATA[Qualitative data analysis.]]></kwd>
</kwd-group>
</article-meta>
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