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cs.IR2026
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…
cs.IR2020
Detecting Quality Problems in Research Data: A Model-Driven Approach
Arno Kesper, Viola Wenz, Gabriele Taentzer
As scientific progress highly depends on the quality of research data, there are strict requirements for data quality coming from the scientific community. A major challenge in dat…