Annals of Computer Science and Information Systems, Volume 17

DOI: http://dx.doi.org/10.15439/2018F92

Citation: Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 17, pages 197–204 (2018)

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Abstract. This paper is devoted to the analysis of open data quality of the company registers in four different countries. The data quality evaluation was obtained using a methodology that involves the creation of three-part data quality model: (1) the definition of a data object to analyse its quality, (2) data object quality specification using DSL, (3) the implementation of an executable data quality model enabling the scanning of a data object and detecting its deficiencies. All three components of the data quality model are designed as graphical language families, which allow formulating data quality specification for non-IT professionals. Validation of an open data published by company registers in four different European countries shows deficiencies in the published data and demonstrates the applicability of the proposed methodology for data quality evaluation.

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