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Characterization and Analysis of Open Brazilian Judiciary Data

Published: 30 November 2020 Publication History

Abstract

Govern transparency is widely accepted as an effective democratic process in many countries. In Brazil, the information-access law contributes to public administration transparency, as public data is available on the Web. However, such data are in different formats and not standardized, which makes it difficult to obtain information, mainly in an automated way. Hence, this work presents an enrichment methodology for an existing open Brazilian judiciary database, a characterization of the available data, and an analysis of the data about judiciary professionals and their earns. The results reveal a lack of linear correlations between the high salaries and their personal benefits. Also, there is a discrepancy between Judiciary salaries and advantages through Brazilian regions, which may be explained by the higher living costs in some regions. Finally, our study reveals the administrative Brazilian Judiciary data do not conform to all Open Government Data principles, and the enriched database helps to solve such problems.

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  1. Characterization and Analysis of Open Brazilian Judiciary Data

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      cover image ACM Conferences
      WebMedia '20: Proceedings of the Brazilian Symposium on Multimedia and the Web
      November 2020
      364 pages
      ISBN:9781450381963
      DOI:10.1145/3428658
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      • SBC: Brazilian Computer Society
      • CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
      • CGIBR: Comite Gestor da Internet no Brazil
      • CAPES: Brazilian Higher Education Funding Council

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 30 November 2020

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      Author Tags

      1. content processing
      2. data analysis
      3. open data

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      • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
      • Conselho Nacional de Desenvolvimento Científico e Tecnológico

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      WebMedia '20
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      WebMedia '20: Brazillian Symposium on Multimedia and the Web
      November 30 - December 4, 2020
      São Luís, Brazil

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      WebMedia '20 Paper Acceptance Rate 34 of 87 submissions, 39%;
      Overall Acceptance Rate 270 of 873 submissions, 31%

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