Análise de domínio em Ciência da Informação: Uma análise da produção científica internacional
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/232663 |
Resumo: | The presence of domain analysis in the international literature on Information Science in the databases Scopus, LISA and Web of Science is analysed for the period 1995-2016. In order to achieve this, we conduct a domain analysis, and more specifically its bibliometric approach (Hjørland, 2002), of aspects related to authors, scientific venues, most productive periods, as well as the most cited authors, in order to identify how the epistemic communities of this domain are conformed (Meyer & Molyneux-Hodgson, 2010). The results show that this has been a prolific topic in the area, with a considerable growth of publications in the last decade, and published in the most important scientific journals in the area, namely Knowledge Organization, Scientometrics, JASIST, Journal of Documentation, and Information Processing & Management. The analysis of the theoretical references revealed an elite of 64 authors, in which research topics related to knowledge organization and metric studies in information stand out, revealing the articulation of two important approaches to domain analysis by Hjørland. This author is also revealed as the most cited author by far, and a central actor in this subject, as he was also its founder in Information Science two decades ago. |
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Análise de domínio em Ciência da Informação: Uma análise da produção científica internacionalDomain Analysis in Information Science: an analysis of the international scientific productionDomain analysisEpistemic communitiesKnowledge organizationThe presence of domain analysis in the international literature on Information Science in the databases Scopus, LISA and Web of Science is analysed for the period 1995-2016. In order to achieve this, we conduct a domain analysis, and more specifically its bibliometric approach (Hjørland, 2002), of aspects related to authors, scientific venues, most productive periods, as well as the most cited authors, in order to identify how the epistemic communities of this domain are conformed (Meyer & Molyneux-Hodgson, 2010). The results show that this has been a prolific topic in the area, with a considerable growth of publications in the last decade, and published in the most important scientific journals in the area, namely Knowledge Organization, Scientometrics, JASIST, Journal of Documentation, and Information Processing & Management. The analysis of the theoretical references revealed an elite of 64 authors, in which research topics related to knowledge organization and metric studies in information stand out, revealing the articulation of two important approaches to domain analysis by Hjørland. This author is also revealed as the most cited author by far, and a central actor in this subject, as he was also its founder in Information Science two decades ago.Departamento de Ciência da Informação Universidade Estadual Paulista, Av. Hygino Muzzi Filho, 737Departamento de Ciência da Informação Universidade Estadual Paulista, Av. Hygino Muzzi Filho, 737Universidade Estadual Paulista (UNESP)Guimarães, José Augusto Chaves [UNESP]Martínez-Ávila, Daniel [UNESP]Martins, Amanda [UNESP]Gomes, Pedro Henrique Carvalho [UNESP]2022-04-30T02:52:40Z2022-04-30T02:52:40Z2017-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article37-43Scire, v. 23, n. 2, p. 37-43, 2017.1135-3716http://hdl.handle.net/11449/2326632-s2.0-85031330431Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporScireinfo:eu-repo/semantics/openAccess2022-04-30T02:52:40Zoai:repositorio.unesp.br:11449/232663Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-30T02:52:40Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Análise de domínio em Ciência da Informação: Uma análise da produção científica internacional Domain Analysis in Information Science: an analysis of the international scientific production |
title |
Análise de domínio em Ciência da Informação: Uma análise da produção científica internacional |
spellingShingle |
Análise de domínio em Ciência da Informação: Uma análise da produção científica internacional Guimarães, José Augusto Chaves [UNESP] Domain analysis Epistemic communities Knowledge organization |
title_short |
Análise de domínio em Ciência da Informação: Uma análise da produção científica internacional |
title_full |
Análise de domínio em Ciência da Informação: Uma análise da produção científica internacional |
title_fullStr |
Análise de domínio em Ciência da Informação: Uma análise da produção científica internacional |
title_full_unstemmed |
Análise de domínio em Ciência da Informação: Uma análise da produção científica internacional |
title_sort |
Análise de domínio em Ciência da Informação: Uma análise da produção científica internacional |
author |
Guimarães, José Augusto Chaves [UNESP] |
author_facet |
Guimarães, José Augusto Chaves [UNESP] Martínez-Ávila, Daniel [UNESP] Martins, Amanda [UNESP] Gomes, Pedro Henrique Carvalho [UNESP] |
author_role |
author |
author2 |
Martínez-Ávila, Daniel [UNESP] Martins, Amanda [UNESP] Gomes, Pedro Henrique Carvalho [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Guimarães, José Augusto Chaves [UNESP] Martínez-Ávila, Daniel [UNESP] Martins, Amanda [UNESP] Gomes, Pedro Henrique Carvalho [UNESP] |
dc.subject.por.fl_str_mv |
Domain analysis Epistemic communities Knowledge organization |
topic |
Domain analysis Epistemic communities Knowledge organization |
description |
The presence of domain analysis in the international literature on Information Science in the databases Scopus, LISA and Web of Science is analysed for the period 1995-2016. In order to achieve this, we conduct a domain analysis, and more specifically its bibliometric approach (Hjørland, 2002), of aspects related to authors, scientific venues, most productive periods, as well as the most cited authors, in order to identify how the epistemic communities of this domain are conformed (Meyer & Molyneux-Hodgson, 2010). The results show that this has been a prolific topic in the area, with a considerable growth of publications in the last decade, and published in the most important scientific journals in the area, namely Knowledge Organization, Scientometrics, JASIST, Journal of Documentation, and Information Processing & Management. The analysis of the theoretical references revealed an elite of 64 authors, in which research topics related to knowledge organization and metric studies in information stand out, revealing the articulation of two important approaches to domain analysis by Hjørland. This author is also revealed as the most cited author by far, and a central actor in this subject, as he was also its founder in Information Science two decades ago. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-07-01 2022-04-30T02:52:40Z 2022-04-30T02:52:40Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Scire, v. 23, n. 2, p. 37-43, 2017. 1135-3716 http://hdl.handle.net/11449/232663 2-s2.0-85031330431 |
identifier_str_mv |
Scire, v. 23, n. 2, p. 37-43, 2017. 1135-3716 2-s2.0-85031330431 |
url |
http://hdl.handle.net/11449/232663 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Scire |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
37-43 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1792961427111149568 |