Frictionless Data-based model applied to open government data
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
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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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 |
_version_ |
1788167560226668544 |