O Big Data na produção científica da Ciência da Informação

Detalhes bibliográficos
Ano de defesa: 2017
Autor(a) principal: Luiz Carlos Felipe de Oliveira
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Minas Gerais
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://hdl.handle.net/1843/ECIP-ARUJ8D
Resumo: The large amount of structured and unstructured data present in our days called Big Data constitute demands for information professionals and research for information science. However, it has been observed that other areas have been appropriated to the study and use of the phenomenon with more agility than the information science. To help understand how information science has incorporated Big Data, this research has the objective of studying the approach that information science attributes to the theme through the analysis of its scientific production. In the literature review are treated the emergence of large volumes of data, the called e-science, data science, data scientist and the consequences experienced by information science and information scientist. Data collection was done through a bibliographical research to identify the scientist production on the topic Big Data in the area of information science. Teachers, programs, universities, countries, and approaches were identified through the analysis of the bibliographic records of the scientific production on the theme Big Data in the area of information science. The data were analyzed quantitatively and qualitatively. The results present the mapping of how this science has approached the theme Big Data in a ranking of universities/entities, training programs, authors and countries.
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spelling O Big Data na produção científica da Ciência da InformaçãoCientistas da informaçãoCiência da InformaçãoBig DataCientista de dadosDatascienceE-scienceCiência da InformaçãoBig DataCientista da InformaçãoThe large amount of structured and unstructured data present in our days called Big Data constitute demands for information professionals and research for information science. However, it has been observed that other areas have been appropriated to the study and use of the phenomenon with more agility than the information science. To help understand how information science has incorporated Big Data, this research has the objective of studying the approach that information science attributes to the theme through the analysis of its scientific production. In the literature review are treated the emergence of large volumes of data, the called e-science, data science, data scientist and the consequences experienced by information science and information scientist. Data collection was done through a bibliographical research to identify the scientist production on the topic Big Data in the area of information science. Teachers, programs, universities, countries, and approaches were identified through the analysis of the bibliographic records of the scientific production on the theme Big Data in the area of information science. The data were analyzed quantitatively and qualitatively. The results present the mapping of how this science has approached the theme Big Data in a ranking of universities/entities, training programs, authors and countries.Universidade Federal de Minas Gerais2019-08-10T16:43:25Z2025-09-08T23:51:06Z2019-08-10T16:43:25Z2017-04-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/1843/ECIP-ARUJ8DLuiz Carlos Felipe de Oliveirainfo:eu-repo/semantics/openAccessporreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2025-09-09T18:16:37Zoai:repositorio.ufmg.br:1843/ECIP-ARUJ8DRepositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2025-09-09T18:16:37Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv O Big Data na produção científica da Ciência da Informação
title O Big Data na produção científica da Ciência da Informação
spellingShingle O Big Data na produção científica da Ciência da Informação
Luiz Carlos Felipe de Oliveira
Cientistas da informação
Ciência da Informação
Big Data
Cientista de dados
Datascience
E-science
Ciência da Informação
Big Data
Cientista da Informação
title_short O Big Data na produção científica da Ciência da Informação
title_full O Big Data na produção científica da Ciência da Informação
title_fullStr O Big Data na produção científica da Ciência da Informação
title_full_unstemmed O Big Data na produção científica da Ciência da Informação
title_sort O Big Data na produção científica da Ciência da Informação
author Luiz Carlos Felipe de Oliveira
author_facet Luiz Carlos Felipe de Oliveira
author_role author
dc.contributor.author.fl_str_mv Luiz Carlos Felipe de Oliveira
dc.subject.por.fl_str_mv Cientistas da informação
Ciência da Informação
Big Data
Cientista de dados
Datascience
E-science
Ciência da Informação
Big Data
Cientista da Informação
topic Cientistas da informação
Ciência da Informação
Big Data
Cientista de dados
Datascience
E-science
Ciência da Informação
Big Data
Cientista da Informação
description The large amount of structured and unstructured data present in our days called Big Data constitute demands for information professionals and research for information science. However, it has been observed that other areas have been appropriated to the study and use of the phenomenon with more agility than the information science. To help understand how information science has incorporated Big Data, this research has the objective of studying the approach that information science attributes to the theme through the analysis of its scientific production. In the literature review are treated the emergence of large volumes of data, the called e-science, data science, data scientist and the consequences experienced by information science and information scientist. Data collection was done through a bibliographical research to identify the scientist production on the topic Big Data in the area of information science. Teachers, programs, universities, countries, and approaches were identified through the analysis of the bibliographic records of the scientific production on the theme Big Data in the area of information science. The data were analyzed quantitatively and qualitatively. The results present the mapping of how this science has approached the theme Big Data in a ranking of universities/entities, training programs, authors and countries.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-26
2019-08-10T16:43:25Z
2019-08-10T16:43:25Z
2025-09-08T23:51:06Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/1843/ECIP-ARUJ8D
url https://hdl.handle.net/1843/ECIP-ARUJ8D
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language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
repository.name.fl_str_mv Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)
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