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How to Define the Quality of Data? A Feature-Based Literature Survey
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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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Domain-Specific Data Quality Analysis Using Technology-Independent Query Templates
A model-driven Quality Pattern Model (QPM) lets domain experts instantiate technology-independent quality-analysis templates that compile to XQuery, SPARQL, or Cypher.
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