Abstract
The authors developed a system of criteria for assessing data quality in the context of distributed information systems. The article describes a set of data quality dimensions formulated based on the challenges of data storage and processing in distributed environments. The main objective of the research is to identify the primary requirements and challenges faced by distributed information resources and to satisfy them with specifically selected data quality criteria. A comprehensive analysis of the literature was conducted to identify key data quality dimensions commonly found in most studies. These dimensions include completeness, accuracy, consistency, and timeliness. The article also outlines the main problems encountered when working with data in distributed information systems. Considering the results of the literature review, an attempt was made to formulate a unified set of data quality assessment criteria, which includes accuracy, consistency, completeness, timeliness, accessibility, and other specific data features. Authors emphasize that data quality criteria depend directly on the purpose of the information system and are based on specific requirements. Therefore, this solution represents only a minimum set of characteristics for evaluating data quality in distributed information systems.
Published Version
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