An Extended Data Object-driven Approach to Data Quality Evaluation: Contextual Data Quality Analysis

Anastasija Nikiforova, J. Bičevskis
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引用次数: 8

Abstract

This research is an extension of a data object-driven approach to data quality evaluation allowing to analyse data object quality in scope of multiple data objects. Previously presented approach was used to analyse one particular data object, mainly focusing on syntactic analysis. It means that the primary data object quality can be analysed against secondary data objects of unlimited number. This opportunity allows making more comprehensive, in-depth contextual data object analysis. The given analysis was applied to open data sets, making comparison between previously obtained results and results of application of the extended approach, underlying importance and benefits of the given extension.
数据质量评估的扩展数据对象驱动方法:上下文数据质量分析
本研究是数据对象驱动的数据质量评估方法的扩展,允许在多个数据对象的范围内分析数据对象的质量。以前提出的方法用于分析一个特定的数据对象,主要侧重于语法分析。这意味着可以根据无限数量的辅助数据对象来分析主要数据对象的质量。这个机会允许进行更全面、更深入的上下文数据对象分析。将给定的分析应用于开放数据集,比较先前获得的结果和应用扩展方法的结果,以及给定扩展的潜在重要性和益处。
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