Domain analysis of the literature on COVID-19 in Information Science’s national context

Detalhes bibliográficos
Autor(a) principal: Evangelista, Isadora Victorino
Data de Publicação: 2022
Outros Autores: Costa, Marcos Oliveira da, Rosa, Samuel Santos da, Barros, Thiago Henrique Bragato, Laipelt, Rita do Carmo Ferreira, Monteiro-Krebs, Luciana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Information Science
Texto Completo: https://revistas.marilia.unesp.br/index.php/bjis/article/view/12366
Resumo: In the past two years, science has been mobilized around studies centered on the new pandemic phenomenon known as COVID-19, a variation of the coronavirus with higher transmission capacity and higher mortality. Thus, as a way of investigating the state of the art of this topic in the field of Information Science, this research sought to answer the following question: what is the Brazilian scientific production in Information Science regarding the COVID-19 pandemic? As main justification, we understand that systematically identifying and disseminating those studies may help the construction of an appropriate theoretical survey on the theme in the national scope. To support our research theoretically and methodologically, we reserved a section to explore Domain Analysis (DA). Proposed by Hjørland and Albrechtsen (1995) around Information Science, this approach allows us to analyze domains of knowledge from their social interactions as discursive communities. Then, we describe the context of information in health, specifically the COVID-19 pandemic context. This is a quali-quantitative research: we made a textual analysis of the keywords found in the articles that make up the corpus and applied bibliometric criteria to identify occurrence patterns of the most productive authors and journals. Being a descriptive-exploratory research, we aimed to describe how the pandemic phenomenon influenced textual production in the context of Information Science, seeking to better explore the theme and look for possible understandings and reflections about the subject. It was possible to infer that the scientific dissemination of knowledge around this theme is closely related to research in information in health, and it even includes a new term in this perspective: “infodemia” (infodemic), a term that is related to the vastness of information made available via the web, especially on social media. In addition to that, the incidence frequency of terms such as comunidade (community) and competência em informação (information competence)
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spelling Domain analysis of the literature on COVID-19 in Information Science’s national contextDomain analysis of the literature on COVID-19 in Information Science’s national contextdomain analysiscovid-19information in healthIn the past two years, science has been mobilized around studies centered on the new pandemic phenomenon known as COVID-19, a variation of the coronavirus with higher transmission capacity and higher mortality. Thus, as a way of investigating the state of the art of this topic in the field of Information Science, this research sought to answer the following question: what is the Brazilian scientific production in Information Science regarding the COVID-19 pandemic? As main justification, we understand that systematically identifying and disseminating those studies may help the construction of an appropriate theoretical survey on the theme in the national scope. To support our research theoretically and methodologically, we reserved a section to explore Domain Analysis (DA). Proposed by Hjørland and Albrechtsen (1995) around Information Science, this approach allows us to analyze domains of knowledge from their social interactions as discursive communities. Then, we describe the context of information in health, specifically the COVID-19 pandemic context. This is a quali-quantitative research: we made a textual analysis of the keywords found in the articles that make up the corpus and applied bibliometric criteria to identify occurrence patterns of the most productive authors and journals. Being a descriptive-exploratory research, we aimed to describe how the pandemic phenomenon influenced textual production in the context of Information Science, seeking to better explore the theme and look for possible understandings and reflections about the subject. It was possible to infer that the scientific dissemination of knowledge around this theme is closely related to research in information in health, and it even includes a new term in this perspective: “infodemia” (infodemic), a term that is related to the vastness of information made available via the web, especially on social media. In addition to that, the incidence frequency of terms such as comunidade (community) and competência em informação (information competence)In the past two years, science has been mobilized around studies centered on the new pandemic phenomenon known as COVID-19, a variation of the coronavirus with higher transmission capacity and higher mortality. Thus, as a way of investigating the state of the art of this topic in the field of Information Science, this research sought to answer the following question: what is the Brazilian scientific production in Information Science regarding the COVID-19 pandemic? As main justification, we understand that systematically identifying and disseminating those studies may help the construction of an appropriate theoretical survey on the theme in the national scope. To support our research theoretically and methodologically, we reserved a section to explore Domain Analysis (DA). Proposed by Hjørland and Albrechtsen (1995) around Information Science, this approach allows us to analyze domains of knowledge from their social interactions as discursive communities. Then, we describe the context of information in health, specifically the COVID-19 pandemic context. This is a quali-quantitative research: we made a textual analysis of the keywords found in the articles that make up the corpus and applied bibliometric criteria to identify occurrence patterns of the most productive authors and journals. Being a descriptive-exploratory research, we aimed to describe how the pandemic phenomenon influenced textual production in the context of Information Science, seeking to better explore the theme and look for possible understandings and reflections about the subject. It was possible to infer that the scientific dissemination of knowledge around this theme is closely related to research in information in health, and it even includes a new term in this perspective: “infodemia” (infodemic), a term that is related to the vastness of information made available via the web, especially on social media. In addition to that, the incidence frequency of terms such as comunidade (community) and competência em informação (information competence)Faculdade de Filosofia e Ciências2022-03-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/1236610.36311/1981-1640.2022.v16.e02137Brazilian Journal of Information Science: Research Trends; Vol. 16 (2022): Continuous publication; e02137Brazilian Journal of Information Science: Research Trends; Vol. 16 (2022): Publicación continua; e02137Brazilian Journal of Information Science: research trends; v. 16 (2022): Publicação contínua; e021371981-1640reponame:Brazilian Journal of Information Scienceinstname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)instacron:UNESPenghttps://revistas.marilia.unesp.br/index.php/bjis/article/view/12366/8600Copyright (c) 2022 Isadora Victorino Evangelista, Marcos Oliveira da Costa, Samuel Santos da Rosa, Thiago Henrique Bragato Barros, Rita do Carmo Ferreira Laipelt, Luciana Monteiro Krebshttps://creativecommons.org/licenses/by-sa/4.0info:eu-repo/semantics/openAccessEvangelista, Isadora VictorinoCosta, Marcos Oliveira daRosa, Samuel Santos daBarros, Thiago Henrique BragatoLaipelt, Rita do Carmo Ferreira Monteiro-Krebs, Luciana2022-03-26T12:16:07Zoai:ojs.www2.marilia.unesp.br:article/12366Revistahttps://revistas.marilia.unesp.br/index.php/bjis/indexPUBhttps://revistas.marilia.unesp.br/index.php/bjis/oaibrajis.marilia@unesp.br||1981-16401981-1640opendoar:2022-03-26T12:16:07Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)false
dc.title.none.fl_str_mv Domain analysis of the literature on COVID-19 in Information Science’s national context
Domain analysis of the literature on COVID-19 in Information Science’s national context
title Domain analysis of the literature on COVID-19 in Information Science’s national context
spellingShingle Domain analysis of the literature on COVID-19 in Information Science’s national context
Evangelista, Isadora Victorino
domain analysis
covid-19
information in health
title_short Domain analysis of the literature on COVID-19 in Information Science’s national context
title_full Domain analysis of the literature on COVID-19 in Information Science’s national context
title_fullStr Domain analysis of the literature on COVID-19 in Information Science’s national context
title_full_unstemmed Domain analysis of the literature on COVID-19 in Information Science’s national context
title_sort Domain analysis of the literature on COVID-19 in Information Science’s national context
author Evangelista, Isadora Victorino
author_facet Evangelista, Isadora Victorino
Costa, Marcos Oliveira da
Rosa, Samuel Santos da
Barros, Thiago Henrique Bragato
Laipelt, Rita do Carmo Ferreira
Monteiro-Krebs, Luciana
author_role author
author2 Costa, Marcos Oliveira da
Rosa, Samuel Santos da
Barros, Thiago Henrique Bragato
Laipelt, Rita do Carmo Ferreira
Monteiro-Krebs, Luciana
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Evangelista, Isadora Victorino
Costa, Marcos Oliveira da
Rosa, Samuel Santos da
Barros, Thiago Henrique Bragato
Laipelt, Rita do Carmo Ferreira
Monteiro-Krebs, Luciana
dc.subject.por.fl_str_mv domain analysis
covid-19
information in health
topic domain analysis
covid-19
information in health
description In the past two years, science has been mobilized around studies centered on the new pandemic phenomenon known as COVID-19, a variation of the coronavirus with higher transmission capacity and higher mortality. Thus, as a way of investigating the state of the art of this topic in the field of Information Science, this research sought to answer the following question: what is the Brazilian scientific production in Information Science regarding the COVID-19 pandemic? As main justification, we understand that systematically identifying and disseminating those studies may help the construction of an appropriate theoretical survey on the theme in the national scope. To support our research theoretically and methodologically, we reserved a section to explore Domain Analysis (DA). Proposed by Hjørland and Albrechtsen (1995) around Information Science, this approach allows us to analyze domains of knowledge from their social interactions as discursive communities. Then, we describe the context of information in health, specifically the COVID-19 pandemic context. This is a quali-quantitative research: we made a textual analysis of the keywords found in the articles that make up the corpus and applied bibliometric criteria to identify occurrence patterns of the most productive authors and journals. Being a descriptive-exploratory research, we aimed to describe how the pandemic phenomenon influenced textual production in the context of Information Science, seeking to better explore the theme and look for possible understandings and reflections about the subject. It was possible to infer that the scientific dissemination of knowledge around this theme is closely related to research in information in health, and it even includes a new term in this perspective: “infodemia” (infodemic), a term that is related to the vastness of information made available via the web, especially on social media. In addition to that, the incidence frequency of terms such as comunidade (community) and competência em informação (information competence)
publishDate 2022
dc.date.none.fl_str_mv 2022-03-24
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.marilia.unesp.br/index.php/bjis/article/view/12366
10.36311/1981-1640.2022.v16.e02137
url https://revistas.marilia.unesp.br/index.php/bjis/article/view/12366
identifier_str_mv 10.36311/1981-1640.2022.v16.e02137
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.marilia.unesp.br/index.php/bjis/article/view/12366/8600
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Faculdade de Filosofia e Ciências
publisher.none.fl_str_mv Faculdade de Filosofia e Ciências
dc.source.none.fl_str_mv Brazilian Journal of Information Science: Research Trends; Vol. 16 (2022): Continuous publication; e02137
Brazilian Journal of Information Science: Research Trends; Vol. 16 (2022): Publicación continua; e02137
Brazilian Journal of Information Science: research trends; v. 16 (2022): Publicação contínua; e02137
1981-1640
reponame:Brazilian Journal of Information Science
instname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Brazilian Journal of Information Science
collection Brazilian Journal of Information Science
repository.name.fl_str_mv Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
repository.mail.fl_str_mv brajis.marilia@unesp.br||
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