Open Government Data on COVID-19 in Brazil: assessing the Reuse Potential
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Em Questão (Online) |
Texto Completo: | https://seer.ufrgs.br/index.php/EmQuestao/article/view/124820 |
Resumo: | In the COVID-19 pandemic, access to data on the disease has become strategic for controlling public health measures. Faced with the health emergency, a large volume of data needed to be minimally organized and made available in a quick and automated way, composing the open government data. After two years of a pandemic and in order to present an overview of the publication of open data by the federal government of Brazil, on COVID-19, this study sought to evaluate the open government data made available through the Application Programming Interface (API). The methodology involved the identification of datasets on COVID-19 in Brazil, in Application Programming Interface, until April 2022, the analysis of the documentation and the evaluation using the DGABr metric. The evaluation considered the five perspectives of the metric that measures fundamental elements about the open government data, essential for interoperability and consequently reuse of the data and was based on the published documentation. As results, the open government data on COVID-19, made available in Application Programming Interface, presented a good score in the metric, reaching level 4. This result indicates that the use of APIs was an important and agile technological resource for the organization and availability of open government data, promoting its reuse. However, it is important to highlight that this availability to society was late, it needs constant improvements, mainly in technical issues such as the connection of data with other sources, and that the effective reuse actions were limited to data visualization panels on COVID-19. |
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Open Government Data on COVID-19 in Brazil: assessing the Reuse PotentialDados governamentais abertos sobre a COVID-19 no Brasil: avaliação do potencial de reúsodados governamentais abertosdados abertosCOVID-19APIreúsoopen government dataopen dataCOVID-19APIreuseIn the COVID-19 pandemic, access to data on the disease has become strategic for controlling public health measures. Faced with the health emergency, a large volume of data needed to be minimally organized and made available in a quick and automated way, composing the open government data. After two years of a pandemic and in order to present an overview of the publication of open data by the federal government of Brazil, on COVID-19, this study sought to evaluate the open government data made available through the Application Programming Interface (API). The methodology involved the identification of datasets on COVID-19 in Brazil, in Application Programming Interface, until April 2022, the analysis of the documentation and the evaluation using the DGABr metric. The evaluation considered the five perspectives of the metric that measures fundamental elements about the open government data, essential for interoperability and consequently reuse of the data and was based on the published documentation. As results, the open government data on COVID-19, made available in Application Programming Interface, presented a good score in the metric, reaching level 4. This result indicates that the use of APIs was an important and agile technological resource for the organization and availability of open government data, promoting its reuse. However, it is important to highlight that this availability to society was late, it needs constant improvements, mainly in technical issues such as the connection of data with other sources, and that the effective reuse actions were limited to data visualization panels on COVID-19.Na pandemia de COVID-19 o acesso aos dados sobre a doença tornou-se estratégico para controle das medidas de saúde pública. Diante da emergência em saúde, um grande volume de dados precisou ser minimamente organizado e disponibilizado de maneira rápida e automatizada compondo os dados governamentais abertos. Após dois anos de pandemia e com o intuito de apresentar um panorama sobre a publicação de dados abertos do governo federal do Brasil, sobre a COVID-19, este estudo buscou avaliar os dados governamentais abertos disponibilizados por meio de Application Programming Interface. A metodologia envolveu a identificação dos conjuntos de dados sobre a COVID-19 no Brasil, em Application Programming Interface, até abril de 2022, a análise da documentação e a avaliação utilizando a métrica DGABr. A avaliação considerou as cinco perspectivas da métrica que mensura elementos fundamentais sobre os dados governamentais abertos, essenciais para interoperabilidade e consequentemente reúso dos dados e pautou-se nas documentações publicadas. Como resultados, os dados governamentais abertos sobre a COVID-19, disponibilizados em Application Programming Interface, apresentaram uma boa pontuação na métrica, atingindo o nível 4. Esse resultado indica que o uso de APIs foi um recurso tecnológico importante e ágil para organização e disponibilização dos dados governamentais abertos, fomentando seu reúso. Contudo, é importante destacar que essa disponibilização para sociedade foi tardia, precisa de melhorias constantes, principalmente em questões técnicas como a ligação dos dados com outras fontes, e que as ações efetivas de reúso se limitaram a painéis de visualização de dados sobre a COVID-19.Universidade Federal do Rio Grande do Sul, Faculdade de Biblioteconomia e Comunicação, Programa de Pós-Graduação em Ciência da Informação (Porto Alegre/RS)2023-04-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por Paresapplication/pdfhttps://seer.ufrgs.br/index.php/EmQuestao/article/view/12482010.19132/1808-5245.29.124820Em Questão; Vol. 29 (2023); 124820Em Questão; Vol. 29 (2023); 124820Em Questão; v. 29 (2023); 1248201808-52451807-8893reponame:Em Questão (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/EmQuestao/article/view/124820/88097Copyright (c) 2022 Patrícia Nascimento Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Silva, Patrícia Nascimento 2023-12-07T14:06:53Zoai:seer.ufrgs.br:article/124820Revistahttps://seer.ufrgs.br/emquestao/PUBhttps://seer.ufrgs.br/EmQuestao/oaiemquestao@ufrgs.br||emquestao@ufrgs.br1808-52451807-8893opendoar:2023-12-07T14:06:53Em Questão (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.none.fl_str_mv |
Open Government Data on COVID-19 in Brazil: assessing the Reuse Potential Dados governamentais abertos sobre a COVID-19 no Brasil: avaliação do potencial de reúso |
title |
Open Government Data on COVID-19 in Brazil: assessing the Reuse Potential |
spellingShingle |
Open Government Data on COVID-19 in Brazil: assessing the Reuse Potential Silva, Patrícia Nascimento dados governamentais abertos dados abertos COVID-19 API reúso open government data open data COVID-19 API reuse |
title_short |
Open Government Data on COVID-19 in Brazil: assessing the Reuse Potential |
title_full |
Open Government Data on COVID-19 in Brazil: assessing the Reuse Potential |
title_fullStr |
Open Government Data on COVID-19 in Brazil: assessing the Reuse Potential |
title_full_unstemmed |
Open Government Data on COVID-19 in Brazil: assessing the Reuse Potential |
title_sort |
Open Government Data on COVID-19 in Brazil: assessing the Reuse Potential |
author |
Silva, Patrícia Nascimento |
author_facet |
Silva, Patrícia Nascimento |
author_role |
author |
dc.contributor.author.fl_str_mv |
Silva, Patrícia Nascimento |
dc.subject.por.fl_str_mv |
dados governamentais abertos dados abertos COVID-19 API reúso open government data open data COVID-19 API reuse |
topic |
dados governamentais abertos dados abertos COVID-19 API reúso open government data open data COVID-19 API reuse |
description |
In the COVID-19 pandemic, access to data on the disease has become strategic for controlling public health measures. Faced with the health emergency, a large volume of data needed to be minimally organized and made available in a quick and automated way, composing the open government data. After two years of a pandemic and in order to present an overview of the publication of open data by the federal government of Brazil, on COVID-19, this study sought to evaluate the open government data made available through the Application Programming Interface (API). The methodology involved the identification of datasets on COVID-19 in Brazil, in Application Programming Interface, until April 2022, the analysis of the documentation and the evaluation using the DGABr metric. The evaluation considered the five perspectives of the metric that measures fundamental elements about the open government data, essential for interoperability and consequently reuse of the data and was based on the published documentation. As results, the open government data on COVID-19, made available in Application Programming Interface, presented a good score in the metric, reaching level 4. This result indicates that the use of APIs was an important and agile technological resource for the organization and availability of open government data, promoting its reuse. However, it is important to highlight that this availability to society was late, it needs constant improvements, mainly in technical issues such as the connection of data with other sources, and that the effective reuse actions were limited to data visualization panels on COVID-19. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-04-12 |
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/124820 10.19132/1808-5245.29.124820 |
url |
https://seer.ufrgs.br/index.php/EmQuestao/article/view/124820 |
identifier_str_mv |
10.19132/1808-5245.29.124820 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufrgs.br/index.php/EmQuestao/article/view/124820/88097 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Patrícia Nascimento Silva https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Patrícia Nascimento Silva https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
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); 124820 Em Questão; Vol. 29 (2023); 124820 Em Questão; v. 29 (2023); 124820 1808-5245 1807-8893 reponame:Em Questão (Online) instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
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Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
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UFRGS |
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Em Questão (Online) |
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Em Questão (Online) |
repository.name.fl_str_mv |
Em Questão (Online) - Universidade Federal do Rio Grande do Sul (UFRGS) |
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emquestao@ufrgs.br||emquestao@ufrgs.br |
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