Data and metadata: Concepts and relationships
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
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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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 |
|
_version_ |
1808129525578465280 |