Browsing by Author "Turunen, Alpo"

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Data quality assurance of 3D building features in data integration processes
(2022-08-22) Turunen, Alpo
Insinööritieteiden korkeakoulu | Master's thesis
During the last 30 years, spatial data quality has raised its importance due to the increasing amount of data sources. In today's data economy, it is profitable to invest in data quality, which has led to demand for common and simple quality assurance methods. Some standards and guidelines, e.g. ISO 19157 and ISO 8000, have contributed to this discourse, but they do not cover all situations. This thesis proposes an FME-tool, which assures the quality of 3D building data. The tool applies over 40 quality rules to CityJSON and CityGML data sets of LoD2 in order to find and report all violations in a tabular or geometrical format. From the example data sets, over 15 types of errors were found. Most of them were completeness or conceptual consistency errors, such as intersections and missing xlinks. Their repairing and impact on integration capabilities were discussed. By using the tool, users can automatically assess and improve their data quality as well as make their data more interoperable and harmonized. The tool is ready to use, but users might want to modify its quality rules and parameters to fit their preferences better. Most quality objectives are relative to the final purpose of data. However, the usage of data quality assurance tools will facilitate data integration processes and overall data utilization of all stakeholders in data governance. It is useful for all phases and roles of the DLC, ranging from data creation to its end-use.