巴西政府门户网站的开放数据评估模型

Ana Eliza Duarte, João Bárbara, Adriano Machado, C. Burle, Wagner Meira, Jr, Leticia Alves
{"title":"巴西政府门户网站的开放数据评估模型","authors":"Ana Eliza Duarte, João Bárbara, Adriano Machado, C. Burle, Wagner Meira, Jr, Leticia Alves","doi":"10.1145/3598469.3598510","DOIUrl":null,"url":null,"abstract":"One of the great challenges related to the publication and consumption of data on the web is the standardization of informational structures. Many organizations publish their datasets privately, without regard to developed publishing standards and principles established by the web community to facilitate the sharing and leveraging of information. Considering this scenario, it is necessary to create mechanisms that are capable of guiding publishers to use principles and best practices for publishing open data on the web and, in the future, allow better data governance in their information portals. This would result in several benefits, such as a better understanding of the data, and easier discovery, processing, reuse, and sharing of data by consumer users. When analyzing a set of portals that publish open data, it was noticed that there is no standardization of published data, which prevents or hinders access to open data by users. In this context, this work proposes a methodology created to evaluate this heterogeneous environment and present an estimate capable of mapping the use and recommendations of good practices for publication and availability of open data in Brazilian government portals. A new Open Data Evaluation Model in Brazilian Governmental Portals was created with an analysis process that presents an agile and simplified approach, capable of identifying and evaluating the data commonly presented in the various portals of open data publication, given the 10 Principles of Open Data Governance, document built by the Federal University of Minas Gerais, in the press, taking into account the W3C Recommendation Best Practices for Data on the Web.","PeriodicalId":401026,"journal":{"name":"Proceedings of the 24th Annual International Conference on Digital Government Research","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Open Data Evaluation Model in Brazilian Governmental Portals\",\"authors\":\"Ana Eliza Duarte, João Bárbara, Adriano Machado, C. Burle, Wagner Meira, Jr, Leticia Alves\",\"doi\":\"10.1145/3598469.3598510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the great challenges related to the publication and consumption of data on the web is the standardization of informational structures. Many organizations publish their datasets privately, without regard to developed publishing standards and principles established by the web community to facilitate the sharing and leveraging of information. Considering this scenario, it is necessary to create mechanisms that are capable of guiding publishers to use principles and best practices for publishing open data on the web and, in the future, allow better data governance in their information portals. This would result in several benefits, such as a better understanding of the data, and easier discovery, processing, reuse, and sharing of data by consumer users. When analyzing a set of portals that publish open data, it was noticed that there is no standardization of published data, which prevents or hinders access to open data by users. In this context, this work proposes a methodology created to evaluate this heterogeneous environment and present an estimate capable of mapping the use and recommendations of good practices for publication and availability of open data in Brazilian government portals. A new Open Data Evaluation Model in Brazilian Governmental Portals was created with an analysis process that presents an agile and simplified approach, capable of identifying and evaluating the data commonly presented in the various portals of open data publication, given the 10 Principles of Open Data Governance, document built by the Federal University of Minas Gerais, in the press, taking into account the W3C Recommendation Best Practices for Data on the Web.\",\"PeriodicalId\":401026,\"journal\":{\"name\":\"Proceedings of the 24th Annual International Conference on Digital Government Research\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 24th Annual International Conference on Digital Government Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3598469.3598510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 24th Annual International Conference on Digital Government Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3598469.3598510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

与网络上的数据发布和消费相关的一个巨大挑战是信息结构的标准化。许多组织私下发布他们的数据集,而不考虑网络社区为促进信息共享和利用而建立的发布标准和原则。考虑到这种情况,有必要创建能够指导发布者使用原则和最佳实践在web上发布开放数据的机制,并在将来允许在其信息门户中进行更好的数据治理。这将带来一些好处,比如更好地理解数据,以及消费者用户更容易发现、处理、重用和共享数据。在分析一组发布开放数据的门户时,我们注意到发布的数据没有标准化,这阻碍或阻碍了用户访问开放数据。在此背景下,本工作提出了一种评估这种异构环境的方法,并提出了一种能够映射巴西政府门户网站开放数据发布和可用性的良好实践的使用和建议的估计。在巴西政府门户网站中创建了一个新的开放数据评估模型,该模型采用了一种分析过程,呈现了一种敏捷和简化的方法,能够识别和评估各种开放数据出版物门户网站中常见的数据,并考虑到W3C推荐的Web上数据最佳实践的10项原则,由米纳斯吉拉斯州联邦大学建立的文件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Open Data Evaluation Model in Brazilian Governmental Portals
One of the great challenges related to the publication and consumption of data on the web is the standardization of informational structures. Many organizations publish their datasets privately, without regard to developed publishing standards and principles established by the web community to facilitate the sharing and leveraging of information. Considering this scenario, it is necessary to create mechanisms that are capable of guiding publishers to use principles and best practices for publishing open data on the web and, in the future, allow better data governance in their information portals. This would result in several benefits, such as a better understanding of the data, and easier discovery, processing, reuse, and sharing of data by consumer users. When analyzing a set of portals that publish open data, it was noticed that there is no standardization of published data, which prevents or hinders access to open data by users. In this context, this work proposes a methodology created to evaluate this heterogeneous environment and present an estimate capable of mapping the use and recommendations of good practices for publication and availability of open data in Brazilian government portals. A new Open Data Evaluation Model in Brazilian Governmental Portals was created with an analysis process that presents an agile and simplified approach, capable of identifying and evaluating the data commonly presented in the various portals of open data publication, given the 10 Principles of Open Data Governance, document built by the Federal University of Minas Gerais, in the press, taking into account the W3C Recommendation Best Practices for Data on the Web.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信