Data and metadata: Concepts and relationships

Detalhes bibliográficos
Autor(a) principal: Arakaki, Ana Carolina Simionato [UNESP]
Data de Publicação: 2020
Outros Autores: Arakaki, Felipe Augusto [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/222375
Resumo: The interdisciplinarity of research in related areas can present many contributions to the development of theories. However, it can also provide terminological confusion. Thus, the importance of discussing these concepts and avoiding nomenclature misconceptions is highlighted. For this reason, the objective of this work is to discuss and relate data and metadata concepts in Information Science. The research is characterized by an exploratory analysis methodology, making it possible to identify conceptual elements from the scientific literature, analyzing the information from Perspectivism. As a result, the definitions and relationships between ‘data’ and ‘metadata’ identified in the literature review are presented. It is considered that the survey and the discussions presented in the text demonstrate several relationships between the concepts, mainly linked to the Semantic Web, Data Science, Big data, among others, raising the need for further definitions and reflections in the area of Science of the Information, due to divergences in conceptual perspectives.
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spelling Data and metadata: Concepts and relationshipsDatos y metadatos: Conceptos y relacionesDados e metadados: Conceitos e relaçõesDataData and metadataInformation ScienceMetadataThe interdisciplinarity of research in related areas can present many contributions to the development of theories. However, it can also provide terminological confusion. Thus, the importance of discussing these concepts and avoiding nomenclature misconceptions is highlighted. For this reason, the objective of this work is to discuss and relate data and metadata concepts in Information Science. The research is characterized by an exploratory analysis methodology, making it possible to identify conceptual elements from the scientific literature, analyzing the information from Perspectivism. As a result, the definitions and relationships between ‘data’ and ‘metadata’ identified in the literature review are presented. It is considered that the survey and the discussions presented in the text demonstrate several relationships between the concepts, mainly linked to the Semantic Web, Data Science, Big data, among others, raising the need for further definitions and reflections in the area of Science of the Information, due to divergences in conceptual perspectives.Ciência da Informação pela Universidade Estadual Paulista (Unesp)Universidade Federal de São Carlos (UFSCar)Universidade de Brasília (UnB)Ciência da Informação pela Universidade Estadual Paulista (Unesp)Universidade Estadual Paulista (UNESP)Universidade Federal de São Carlos (UFSCar)Universidade de Brasília (UnB)Arakaki, Ana Carolina Simionato [UNESP]Arakaki, Felipe Augusto [UNESP]2022-04-28T19:44:17Z2022-04-28T19:44:17Z2020-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article34-45Ciencia da Informacao, v. 49, n. 3, p. 34-45, 2020.0100-1965http://hdl.handle.net/11449/2223752-s2.0-85114505120Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporCiencia da Informacaoinfo:eu-repo/semantics/openAccess2022-04-28T19:44:17Zoai:repositorio.unesp.br:11449/222375Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:29:44.822159Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Data and metadata: Concepts and relationships
Datos y metadatos: Conceptos y relaciones
Dados e metadados: Conceitos e relações
title Data and metadata: Concepts and relationships
spellingShingle Data and metadata: Concepts and relationships
Arakaki, Ana Carolina Simionato [UNESP]
Data
Data and metadata
Information Science
Metadata
title_short Data and metadata: Concepts and relationships
title_full Data and metadata: Concepts and relationships
title_fullStr Data and metadata: Concepts and relationships
title_full_unstemmed Data and metadata: Concepts and relationships
title_sort Data and metadata: Concepts and relationships
author Arakaki, Ana Carolina Simionato [UNESP]
author_facet Arakaki, Ana Carolina Simionato [UNESP]
Arakaki, Felipe Augusto [UNESP]
author_role author
author2 Arakaki, Felipe Augusto [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Federal de São Carlos (UFSCar)
Universidade de Brasília (UnB)
dc.contributor.author.fl_str_mv Arakaki, Ana Carolina Simionato [UNESP]
Arakaki, Felipe Augusto [UNESP]
dc.subject.por.fl_str_mv Data
Data and metadata
Information Science
Metadata
topic Data
Data and metadata
Information Science
Metadata
description The interdisciplinarity of research in related areas can present many contributions to the development of theories. However, it can also provide terminological confusion. Thus, the importance of discussing these concepts and avoiding nomenclature misconceptions is highlighted. For this reason, the objective of this work is to discuss and relate data and metadata concepts in Information Science. The research is characterized by an exploratory analysis methodology, making it possible to identify conceptual elements from the scientific literature, analyzing the information from Perspectivism. As a result, the definitions and relationships between ‘data’ and ‘metadata’ identified in the literature review are presented. It is considered that the survey and the discussions presented in the text demonstrate several relationships between the concepts, mainly linked to the Semantic Web, Data Science, Big data, among others, raising the need for further definitions and reflections in the area of Science of the Information, due to divergences in conceptual perspectives.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-01
2022-04-28T19:44:17Z
2022-04-28T19:44:17Z
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 Ciencia da Informacao, v. 49, n. 3, p. 34-45, 2020.
0100-1965
http://hdl.handle.net/11449/222375
2-s2.0-85114505120
identifier_str_mv Ciencia da Informacao, v. 49, n. 3, p. 34-45, 2020.
0100-1965
2-s2.0-85114505120
url http://hdl.handle.net/11449/222375
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Ciencia da Informacao
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 34-45
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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