Lisa Ehrlinger, Wolfram Wöß,
"Automated Data Quality Monitoring"
, in John R. Talburt: Proceedings of the 22nd MIT International Conference on Information Quality (MIT ICIQ 2017), Seite(n) 15.1-15.9, 10-2017, ISBN: 978-0-692-05026-2
Original Titel:
Automated Data Quality Monitoring
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 22nd MIT International Conference on Information Quality (MIT ICIQ 2017)
Original Kurzfassung:
Most existing methodologies agree that the assessment of data quality (DQ) is a cyclic
process, which has to be carried out continuously. Nevertheless, the majority of DQ tools allow
the evaluation of data sources only at specific points in time, and the automation and scheduling
is therefore in the responsibility of the user. In contrast, automated DQ monitoring allows the
evaluation of applied DQ improvements as well as the comparability between different system
states. The reproducibility of DQ assessments is also an important topic for the scientific
community in order to review algorithms that improve the DQ of an information system. We are
developing a tool for DQ monitoring and our research covers the investigation of suitable DQ
metrics for continuous monitoring as well as the development of a standardized approach to
storing DQ assessment results over time. In addition, statistical methods to analyze and visualize
the resulting time series data are selected and applied.
Forschungs-