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2022 | OriginalPaper | Chapter

11. A Quality Dimension Analysis of Open Government Data in Undergraduate Public Funding in Brazil

Authors : Marcelo Moreira West, Glauco de Figueiredo Carneiro

Published in: ITNG 2022 19th International Conference on Information Technology-New Generations

Publisher: Springer International Publishing

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Abstract

The chapter delves into the analysis of open government data quality, specifically focusing on undergraduate public funding in Brazil. It introduces key data quality dimensions such as interpretability, comprehensibility, credibility, and accuracy. The study identifies common errors like missing attribute values, incorrect data types, and inconsistencies, which hinder effective data use. The tutorial presented offers a methodological approach to analyzing these errors, culminating in actionable suggestions for enhancing data quality. The findings underscore the importance of standardized data formats and comprehensive metadata in fostering transparency and participatory governance.

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Metadata
Title
A Quality Dimension Analysis of Open Government Data in Undergraduate Public Funding in Brazil
Authors
Marcelo Moreira West
Glauco de Figueiredo Carneiro
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-030-97652-1_11

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