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

Databases 2025-04-03 v1

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.

Keywords

Cite

@article{arxiv.2504.01491,
  title  = {How to Define the Quality of Data? A Feature-Based Literature Survey},
  author = {Markus Matoni and Arno Kesper and Gabriele Taentzer},
  journal= {arXiv preprint arXiv:2504.01491},
  year   = {2025}
}

Comments

Preprint submitted to ACM Computing Surveys