The formal description of the quality data published on the Web: analysis of the Data Quality Vocabulary (DQV)
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Em Questão (Online) |
Texto Completo: | https://seer.ufrgs.br/index.php/EmQuestao/article/view/129415 |
Resumo: | The quality assessment process plays an important role in the reuse of data made available on the Web. To ensure the use and reuse of these data, it is necessary to formally describe them in a way that computational agents can understand. One of the possibilities to make this description viable is the Data Quality Vocabulary, elaborated by the World Wide Web Consortium. The objective was to verify the impact of the Data Quality Vocabulary in the process of formal description of the quality of data published on the Web, analyzing the objectives, characteristics, and structure of the vocabulary. The research has an exploratory and descriptive character, adopting as a method a study of the official documentation published by the consortium. As a result, an overview of the scenario that led to the development of the vocabulary was obtained, its structure was presented and its potential application was discussed. It is concluded that the Data Quality Vocabulary provides a general and customizable descriptive structure for providing the results of the data quality assessment process, which allows these results to be shared by its providers. It also allows the community to participate in the evaluation process and formally share the results obtained, thus reducing rework. It is also concluded that the vocabulary contributes to the reuse of data in the context of the Web by facilitating the use of automatic and semi-automatic tools in the evaluation and selection of data sources for the application. |
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The formal description of the quality data published on the Web: analysis of the Data Quality Vocabulary (DQV)A descrição formal da qualidade de dados publicados na Web: análise do Data Quality Vocabulary (DQV)qualidade de dados avaliação de qualidadeDQVdata qualityquality assessment DQVThe quality assessment process plays an important role in the reuse of data made available on the Web. To ensure the use and reuse of these data, it is necessary to formally describe them in a way that computational agents can understand. One of the possibilities to make this description viable is the Data Quality Vocabulary, elaborated by the World Wide Web Consortium. The objective was to verify the impact of the Data Quality Vocabulary in the process of formal description of the quality of data published on the Web, analyzing the objectives, characteristics, and structure of the vocabulary. The research has an exploratory and descriptive character, adopting as a method a study of the official documentation published by the consortium. As a result, an overview of the scenario that led to the development of the vocabulary was obtained, its structure was presented and its potential application was discussed. It is concluded that the Data Quality Vocabulary provides a general and customizable descriptive structure for providing the results of the data quality assessment process, which allows these results to be shared by its providers. It also allows the community to participate in the evaluation process and formally share the results obtained, thus reducing rework. It is also concluded that the vocabulary contributes to the reuse of data in the context of the Web by facilitating the use of automatic and semi-automatic tools in the evaluation and selection of data sources for the application. O processo de avaliação de qualidade desempenha um papel importante na reutilização dos dados disponibilizados na Web. Para garantir o uso e reuso desses dados faz-se necessária à sua descrição formal, de maneira compreensível à agentes computacionais. Uma das possibilidades para viabilizar essa descrição é o Data Quality Vocabulary, elaborado pelo Word Wide Web Consortium. Objetivou-se verificar o impacto do Data Quality Vocabulary no processo de descrição formal da qualidade de dados publicados na Web, analisando os objetivos, características e a estrutura do vocabulário. A pesquisa possuí um caráter exploratório e descritivo, adotando como método um estudo da documentação oficial publicada pelo consórcio. Como resultados obteve-se um panorama do cenário que levou ao desenvolvimento do vocabulário, foi apresentada sua estrutura e discutido o seu potencial de aplicação. Conclui-se que o Data Quality Vocabulary disponibiliza uma estrutura descritiva geral e customizável para o fornecimento de resultados do processo de avaliação de qualidade de dados, o que permite que esses resultados sejam compartilhados pelos seus fornecedores. Permite ainda que a comunidade participe do processo de avaliação e compartilhe os resultados obtidos de maneira formal, diminuindo assim o retrabalho. Conclui-se ainda que o vocabulário contribui para o reuso de dados no contexto da Web ao facilitar o uso de ferramentas automáticas e semiautomáticas no processo de avaliação e seleção de fontes de dados para a aplicaçãoUniversidade Federal do Rio Grande do Sul, Faculdade de Biblioteconomia e Comunicação, Programa de Pós-Graduação em Ciência da Informação (Porto Alegre/RS)2023-10-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por Paresapplication/pdfapplication/pdfapplication/pdfhttps://seer.ufrgs.br/index.php/EmQuestao/article/view/12941510.1590/1808-5245.29.129415Em Questão; Vol. 29 (2023)Em Questão; Vol. 29 (2023)Em Questão; v. 29 (2023)1808-52451807-8893reponame:Em Questão (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/EmQuestao/article/view/129415/89762https://seer.ufrgs.br/index.php/EmQuestao/article/view/129415/89765https://seer.ufrgs.br/index.php/EmQuestao/article/view/129415/89766Copyright (c) 2022 Ananda Fernanda de Jesus, José Eduardo Santarem Segundohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessJesus, Ananda Fernanda deSantarem Segundo, José Eduardo 2023-12-07T14:02:23Zoai:seer.ufrgs.br:article/129415Revistahttps://seer.ufrgs.br/emquestao/PUBhttps://seer.ufrgs.br/EmQuestao/oaiemquestao@ufrgs.br||emquestao@ufrgs.br1808-52451807-8893opendoar:2023-12-07T14:02:23Em Questão (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.none.fl_str_mv |
The formal description of the quality data published on the Web: analysis of the Data Quality Vocabulary (DQV) A descrição formal da qualidade de dados publicados na Web: análise do Data Quality Vocabulary (DQV) |
title |
The formal description of the quality data published on the Web: analysis of the Data Quality Vocabulary (DQV) |
spellingShingle |
The formal description of the quality data published on the Web: analysis of the Data Quality Vocabulary (DQV) Jesus, Ananda Fernanda de qualidade de dados avaliação de qualidade DQV data quality quality assessment DQV |
title_short |
The formal description of the quality data published on the Web: analysis of the Data Quality Vocabulary (DQV) |
title_full |
The formal description of the quality data published on the Web: analysis of the Data Quality Vocabulary (DQV) |
title_fullStr |
The formal description of the quality data published on the Web: analysis of the Data Quality Vocabulary (DQV) |
title_full_unstemmed |
The formal description of the quality data published on the Web: analysis of the Data Quality Vocabulary (DQV) |
title_sort |
The formal description of the quality data published on the Web: analysis of the Data Quality Vocabulary (DQV) |
author |
Jesus, Ananda Fernanda de |
author_facet |
Jesus, Ananda Fernanda de Santarem Segundo, José Eduardo |
author_role |
author |
author2 |
Santarem Segundo, José Eduardo |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Jesus, Ananda Fernanda de Santarem Segundo, José Eduardo |
dc.subject.por.fl_str_mv |
qualidade de dados avaliação de qualidade DQV data quality quality assessment DQV |
topic |
qualidade de dados avaliação de qualidade DQV data quality quality assessment DQV |
description |
The quality assessment process plays an important role in the reuse of data made available on the Web. To ensure the use and reuse of these data, it is necessary to formally describe them in a way that computational agents can understand. One of the possibilities to make this description viable is the Data Quality Vocabulary, elaborated by the World Wide Web Consortium. The objective was to verify the impact of the Data Quality Vocabulary in the process of formal description of the quality of data published on the Web, analyzing the objectives, characteristics, and structure of the vocabulary. The research has an exploratory and descriptive character, adopting as a method a study of the official documentation published by the consortium. As a result, an overview of the scenario that led to the development of the vocabulary was obtained, its structure was presented and its potential application was discussed. It is concluded that the Data Quality Vocabulary provides a general and customizable descriptive structure for providing the results of the data quality assessment process, which allows these results to be shared by its providers. It also allows the community to participate in the evaluation process and formally share the results obtained, thus reducing rework. It is also concluded that the vocabulary contributes to the reuse of data in the context of the Web by facilitating the use of automatic and semi-automatic tools in the evaluation and selection of data sources for the application. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-10-05 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado por Pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.ufrgs.br/index.php/EmQuestao/article/view/129415 10.1590/1808-5245.29.129415 |
url |
https://seer.ufrgs.br/index.php/EmQuestao/article/view/129415 |
identifier_str_mv |
10.1590/1808-5245.29.129415 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufrgs.br/index.php/EmQuestao/article/view/129415/89762 https://seer.ufrgs.br/index.php/EmQuestao/article/view/129415/89765 https://seer.ufrgs.br/index.php/EmQuestao/article/view/129415/89766 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Ananda Fernanda de Jesus, José Eduardo Santarem Segundo https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Ananda Fernanda de Jesus, José Eduardo Santarem Segundo https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio Grande do Sul, Faculdade de Biblioteconomia e Comunicação, Programa de Pós-Graduação em Ciência da Informação (Porto Alegre/RS) |
publisher.none.fl_str_mv |
Universidade Federal do Rio Grande do Sul, Faculdade de Biblioteconomia e Comunicação, Programa de Pós-Graduação em Ciência da Informação (Porto Alegre/RS) |
dc.source.none.fl_str_mv |
Em Questão; Vol. 29 (2023) Em Questão; Vol. 29 (2023) Em Questão; v. 29 (2023) 1808-5245 1807-8893 reponame:Em Questão (Online) instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Em Questão (Online) |
collection |
Em Questão (Online) |
repository.name.fl_str_mv |
Em Questão (Online) - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
emquestao@ufrgs.br||emquestao@ufrgs.br |
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1789438637056720896 |