Interoperability-oriented Quality Assessment for Czech Open Data

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Publikace nespadá pod Pedagogickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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KUŠNIRÁKOVÁ Daša GE Mouzhi WALLETZKÝ Leonard BÜHNOVÁ Barbora

Rok publikování 2022
Druh Článek ve sborníku
Konference Proceedings of the 11th International Conference on Data Science, Technology and Applications
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www https://www.scitepress.org/PublicationsDetail.aspx?ID=UrE+LJsln4A=&t=1
Doi http://dx.doi.org/10.5220/0011291900003269
Klíčová slova Open data; data quality; data interoperability; evaluation framework
Popis With the rapid increase of published open datasets, it is crucial to support the open data progress in smart cities while considering the open data quality. In the Czech Republic, and its National Open Data Catalogue (NODC), the open datasets are usually evaluated based on their metadata only, while leaving the content and the adherence to the recommended data structure to the sole responsibility of the data providers. The interoperability of open datasets remains unknown. This paper therefore aims to propose a novel content-aware quality evaluation framework that assesses the quality of open datasets based on five data quality dimensions. With the proposed framework, we provide a fundamental view on the interoperability-oriented data quality of Czech open datasets, which are published in NODC. Our evaluations find that domain-specific open data quality assessments are able to detect data quality issues beyond traditional heuristics used for determining Czech open data quality, increase their interoperability, and thus increase their potential to bring value for the society. The findings of this research are beneficial not only for the case of the Czech Republic, but also can be applied in other countries that intend to enhance their open data quality evaluation processes.
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