Data Quality Assessment

Abstract

A state-of-the-art in the domain of data quality assessment and maintaining in modern information systems is presented in the paper. A short historical view on the development of this problem is given. Particular attention is paid to the development of the idea of multi-aspect data quality assessment. The problem of extension of single data quality assessment on higher-level data structures is considered. The methods of multi-aspect data quality measures ordering for comparison is analyzed and its solution based on the concept of semi-ordering in linear vector (Kantorovitsh) space is proposed. Remarks on organizational and technological tools for data quality maintenance in organizations are given. Expected future trends in the development of data quality assessment and maintenance methods are suggested.