4 papers
A Model-Driven Pipeline for Data Quality Specification and Operationalization: A No-Code Approach for Domain Experts
Arno Kesper, Lukas Sebastian Hofmann, Markus Matoni +1
High-quality data is essential for reliable analysis, decision-making, and research across domains. This is especially relevant in areas such as cultural heritage, where data is co…
Domain-Specific Data Quality Analysis Using Technology-Independent Query Templates
Arno Kesper, Lukas Sebastian Hofmann, Markus Matoni +1
In an increasingly data-driven world, effectively working with data depends heavily on its quality. Quality analysis is a central aspect of data quality management. As data quality…
Quality of Descriptive Information on Cultural Heritage Objects: Definition and Empirical Evaluation
Markus Matoni, Arno Kesper, Gabriele Taentzer
Effective data processing depends on the quality of the underlying data. However, quality issues such as inconsistencies and uncertainties, can significantly impede the processing…
How to Define the Quality of Data? A Feature-Based Literature Survey
Markus Matoni, Arno Kesper, Gabriele Taentzer
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. Th…