arXiv Open Access 2025

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

Markus Matoni Arno Kesper Gabriele Taentzer

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Abstrak

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.

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Penulis (3)

Markus Matoni

Arno Kesper

Gabriele Taentzer

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Matoni, M., Kesper, A., Taentzer, G. (2025). How to Define the Quality of Data? A Feature-Based Literature Survey. https://arxiv.org/abs/2504.01491

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓