How to Define the Quality of Data? A Feature-Based Literature Survey

The digital transformation of our society is a constant challenge, as data is generated in almost every digital interaction. To use data effectively, it must be of high quality. This raises the question: what exactly is data quality? A systematic literature review of the existing literature shows that data quality is a multifaceted concept, characterized by a number of quality dimensions. However, the definitions of data quality vary widely. We used feature-oriented domain analysis to specify a taxonomy of data quality definitions and to classify the existing definitions. This allows us to identify research gaps and future topics.

Publication Details

Journal
ArXiv.org
Published
2025-04-02
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
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How to Define the Quality of Data? A Feature-Based Literature Survey

ArXiv.org
Data Quality and Management
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How to Define the Quality of Data? A Feature-Based Literature Survey

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Abstract

The digital transformation of our society is a constant challenge, as data is generated in almost every digital interaction. To use data effectively, it must be of high quality. This raises the question: what exactly is data quality? A systematic literature review of the existing literature shows that data quality is a multifaceted concept, characterized by a number of quality dimensions. However, the definitions of data quality vary widely. We used feature-oriented domain analysis to specify a taxonomy of data quality definitions and to classify the existing definitions. This allows us to identify research gaps and future topics.

ArXiv.org
Openalex Percentile: Top 42%
Data Quality and Management
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How to Define the Quality of Data? A Feature-Based Literature Survey · ArXiv.org (2025) | TGRS Research Map | TGRS