Papers Papers/2022 Papers Papers/2022



Authors: Dasa Kusnirakova 1 ; Mouzhi Ge 2 ; Leonard Walletzky 1 and Barbora Buhnova 1

Affiliations: 1 Faculty of Informatics, Masaryk University, Brno, Czech Republic ; 2 Deggendorf Institute of Technology, Deggendorf, Germany

Keyword(s): Open Data, Data Quality, Data Interoperability, Evaluation Framework.

Abstract: 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, incre ase 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. (More)


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Paper citation in several formats:
Kusnirakova, D.; Ge, M.; Walletzky, L. and Buhnova, B. (2022). Interoperability-oriented Quality Assessment for Czech Open Data. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA, ISBN 978-989-758-583-8; ISSN 2184-285X, pages 446-453. DOI: 10.5220/0011291900003269

author={Dasa Kusnirakova. and Mouzhi Ge. and Leonard Walletzky. and Barbora Buhnova.},
title={Interoperability-oriented Quality Assessment for Czech Open Data},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA,},


JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA,
TI - Interoperability-oriented Quality Assessment for Czech Open Data
SN - 978-989-758-583-8
IS - 2184-285X
AU - Kusnirakova, D.
AU - Ge, M.
AU - Walletzky, L.
AU - Buhnova, B.
PY - 2022
SP - 446
EP - 453
DO - 10.5220/0011291900003269