Frictionless Data-based model applied to open government data

Detalhes bibliográficos
Autor(a) principal: Fagundes, Melissa Figueira
Data de Publicação: 2020
Outros Autores: Ribeiro Junior , Divino Ignácio
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Revista Digital de Biblioteconomia e Ciência da Informação
Texto Completo: https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8661528
Resumo: This article proposes a model based on Fricitionless Data (FD) to assist in the publication of open government data (DAGs). FD is an Open Knowledge Foundation initiative that aims to remove the "friction" in working with the data, that is, when a lot of time and resources are lost to understand and work with the data. In the scope of public institutions, the absence of standards for the publication and processing of DAGs is a common problem when it comes to opening DAGs and that the study sought to contribute by applying the model to the data set with information on the good practices performed by the Judiciary related to Sustainable Development Goals (SDGs).  According to Ordinance No. 133, the integration of the SDGs with the good practices of the Judiciary can bring several benefits such as: improvement of the search engines in the Courts' Transparency Portals, in a way associated with the SDGs; assist in measuring the efficiency of the Judiciary in achieving the SDGs, among others. The model was based on the Data Publication Workflow, a flow for publishing data available on the website of the Frictionless Data initiative and that addresses steps such as packaging, processing and publishing the data. The application of the model also used open source tools based on Frictionless Data and the results showed its feasibility for opening a set of open government data.
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spelling Frictionless Data-based model applied to open government dataModelo baseado em Frictionless Data aplicado aos dados abertos governamentaisOpen data governmentGovernmentFrictionless dataOpen dataDados abertos governamentaisGovernoFrictionless dataOpen dataThis article proposes a model based on Fricitionless Data (FD) to assist in the publication of open government data (DAGs). FD is an Open Knowledge Foundation initiative that aims to remove the "friction" in working with the data, that is, when a lot of time and resources are lost to understand and work with the data. In the scope of public institutions, the absence of standards for the publication and processing of DAGs is a common problem when it comes to opening DAGs and that the study sought to contribute by applying the model to the data set with information on the good practices performed by the Judiciary related to Sustainable Development Goals (SDGs).  According to Ordinance No. 133, the integration of the SDGs with the good practices of the Judiciary can bring several benefits such as: improvement of the search engines in the Courts' Transparency Portals, in a way associated with the SDGs; assist in measuring the efficiency of the Judiciary in achieving the SDGs, among others. The model was based on the Data Publication Workflow, a flow for publishing data available on the website of the Frictionless Data initiative and that addresses steps such as packaging, processing and publishing the data. The application of the model also used open source tools based on Frictionless Data and the results showed its feasibility for opening a set of open government data.O presente trabalho propõe um modelo baseado em Fricitionless Data (FD) para auxiliar na publicação de dados abertos governamentais (DAGs). FD é uma iniciativa da Open Knowledge Foundation, que pretende remover o "atrito" no trabalho com os dados, ou seja, quando se perde muito tempo e recursos para entender e trabalhar com o dado. No âmbito das instituições públicas, a ausência de padrões para publicação e processamento dos DAGs é problema comum quando se trata de abertura dos DAGs. O estudo procurou contribuir ao aplicar o modelo ao conjunto de dados com informações sobre as boas práticas executadas pelo Judiciário relacionadas aos Objetivos de Desenvolvimento Sustentável (ODS). Segundo a Portaria nº 133, a integração dos ODS com as boas práticas do Judiciário pode trazer diversos benefícios como: aperfeiçoamento dos mecanismos de busca nos Portais de Transparência dos Tribunais, de forma associada aos ODS; auxiliar na medição da eficiência do Poder Judiciário em atingir os ODS, entre outros. O modelo se baseou no Data Publication Workflow, um fluxo para publicação de dados disponível no site da iniciativa Frictionless Data e que aborda etapas como empacotamento, tratamento e publicação dos dados. A aplicação do modelo também utilizou ferramentas de código aberto baseados em Frictionless Data e os resultados mostraram a sua viabilidade para a abertura de um conjunto de dados abertos governamentais.Universidade Estadual de Campinas2020-11-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoinfo:eu-repo/semantics/otherapplication/pdfapplication/pdfvideo/mp4https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/866152810.20396/rdbci.v18i00.8661528RDBCI: Digital Journal of Library and Information Science; Vol. 18 (2020): Continuous Publishing; e020034RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação; v. 18 (2020): Publicação Contínua; e0200341678-765Xreponame:Revista Digital de Biblioteconomia e Ciência da Informaçãoinstname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPporenghttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8661528/24008https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8661528/25795https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8661528/25543Brazil; ContemporaryBrasil; ContemporâneoCopyright (c) 2020 Melissa Figueira Fagundes, Divino Ignácio Ribeiro Junior https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFagundes, Melissa Figueira Ribeiro Junior , Divino Ignácio 2021-01-05T21:59:55Zoai:ojs.periodicos.sbu.unicamp.br:article/8661528Revistahttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbciPUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/oaippec@unicamp.br||gilbfe@unicamp.br|| rdbci@unicamp.br|| danif@unicamp.br1678-765X1678-765Xopendoar:2023-05-22T10:16:29.539154Revista Digital de Biblioteconomia e Ciência da Informação - Universidade Estadual de Campinas (UNICAMP)false
dc.title.none.fl_str_mv Frictionless Data-based model applied to open government data
Modelo baseado em Frictionless Data aplicado aos dados abertos governamentais
title Frictionless Data-based model applied to open government data
spellingShingle Frictionless Data-based model applied to open government data
Fagundes, Melissa Figueira
Open data government
Government
Frictionless data
Open data
Dados abertos governamentais
Governo
Frictionless data
Open data
title_short Frictionless Data-based model applied to open government data
title_full Frictionless Data-based model applied to open government data
title_fullStr Frictionless Data-based model applied to open government data
title_full_unstemmed Frictionless Data-based model applied to open government data
title_sort Frictionless Data-based model applied to open government data
author Fagundes, Melissa Figueira
author_facet Fagundes, Melissa Figueira
Ribeiro Junior , Divino Ignácio
author_role author
author2 Ribeiro Junior , Divino Ignácio
author2_role author
dc.contributor.author.fl_str_mv Fagundes, Melissa Figueira
Ribeiro Junior , Divino Ignácio
dc.subject.por.fl_str_mv Open data government
Government
Frictionless data
Open data
Dados abertos governamentais
Governo
Frictionless data
Open data
topic Open data government
Government
Frictionless data
Open data
Dados abertos governamentais
Governo
Frictionless data
Open data
description This article proposes a model based on Fricitionless Data (FD) to assist in the publication of open government data (DAGs). FD is an Open Knowledge Foundation initiative that aims to remove the "friction" in working with the data, that is, when a lot of time and resources are lost to understand and work with the data. In the scope of public institutions, the absence of standards for the publication and processing of DAGs is a common problem when it comes to opening DAGs and that the study sought to contribute by applying the model to the data set with information on the good practices performed by the Judiciary related to Sustainable Development Goals (SDGs).  According to Ordinance No. 133, the integration of the SDGs with the good practices of the Judiciary can bring several benefits such as: improvement of the search engines in the Courts' Transparency Portals, in a way associated with the SDGs; assist in measuring the efficiency of the Judiciary in achieving the SDGs, among others. The model was based on the Data Publication Workflow, a flow for publishing data available on the website of the Frictionless Data initiative and that addresses steps such as packaging, processing and publishing the data. The application of the model also used open source tools based on Frictionless Data and the results showed its feasibility for opening a set of open government data.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Texto
info:eu-repo/semantics/other
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8661528
10.20396/rdbci.v18i00.8661528
url https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8661528
identifier_str_mv 10.20396/rdbci.v18i00.8661528
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8661528/24008
https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8661528/25795
https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8661528/25543
dc.rights.driver.fl_str_mv Copyright (c) 2020 Melissa Figueira Fagundes, Divino Ignácio Ribeiro Junior
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Melissa Figueira Fagundes, Divino Ignácio Ribeiro Junior
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
video/mp4
dc.coverage.none.fl_str_mv Brazil; Contemporary
Brasil; Contemporâneo
dc.publisher.none.fl_str_mv Universidade Estadual de Campinas
publisher.none.fl_str_mv Universidade Estadual de Campinas
dc.source.none.fl_str_mv RDBCI: Digital Journal of Library and Information Science; Vol. 18 (2020): Continuous Publishing; e020034
RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação; v. 18 (2020): Publicação Contínua; e020034
1678-765X
reponame:Revista Digital de Biblioteconomia e Ciência da Informação
instname:Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
instname_str Universidade Estadual de Campinas (UNICAMP)
instacron_str UNICAMP
institution UNICAMP
reponame_str Revista Digital de Biblioteconomia e Ciência da Informação
collection Revista Digital de Biblioteconomia e Ciência da Informação
repository.name.fl_str_mv Revista Digital de Biblioteconomia e Ciência da Informação - Universidade Estadual de Campinas (UNICAMP)
repository.mail.fl_str_mv ppec@unicamp.br||gilbfe@unicamp.br|| rdbci@unicamp.br|| danif@unicamp.br
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