O Big Data na produção científica da Ciência da Informação
| Ano de defesa: | 2017 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| 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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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 |
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masterThesis |
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publishedVersion |
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https://hdl.handle.net/1843/ECIP-ARUJ8D |
| url |
https://hdl.handle.net/1843/ECIP-ARUJ8D |
| dc.language.iso.fl_str_mv |
por |
| language |
por |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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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 |
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reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
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Universidade Federal de Minas Gerais (UFMG) |
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UFMG |
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UFMG |
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Repositório Institucional da UFMG |
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Repositório Institucional da UFMG |
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Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG) |
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repositorio@ufmg.br |
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1856413897133654016 |