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http://dx.doi.org/10.22640/lxsiri.2022.52.1.37

A Study on the Derivation of Items for Development of Data Quality Standard for 3D Building Data in National Digital Twin  

Kim, Byeongsun (Department of Smart City Engineering, Anyang University)
Lee, Heeseok (Department of Urban Information Engineering, Anyang University)
Hong, Sangki (Department of Urban Information Engineering, Anyang University)
Publication Information
Journal of Cadastre & Land InformatiX / v.52, no.1, 2022 , pp. 37-55 More about this Journal
Abstract
This study presents the plans to derive quality items for develop the data quality standard for ensuring the quality of 3D building geospatial data in NDT(National Digital Twin). This paper is organized as follows. The first section briefly examines various factors that impact the quality of 3D geospatial data, and proposes the role and necessity of the data quality standard as a means of addressing the data errors properly and also meeting the minimum requirements of stakeholders. The second section analyzes the relationship between the standards - building data model for NDT and ISO 19157: Geospatial data quality - in order to consider directly relevant standards. Finally, we suggest three plans on developing NDT data quality standard: (1) the scope for evaluating data quality, (2) additional quality elements(geometric integrity, geometric fidelity, positional accuracy and semantic classification accuracy), and (3) NDT data quality items model based on ISO 19157. The plans reveled through the study would contribute to establish a way for the national standard on NDT data quality as well as the other standards associated with NDT over the coming years.
Keywords
National Digital Twin; 3D Geospatial Data; Building Data; Quality Standard; Data Mode;
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