Supporting the Production of High-Quality Data in Concurrent Plant Engineering Using a MetaDataRepository
Blechinger J, Lauterwald F, Lenz R (2010)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2010
Edited Volumes: 16th Americas Conference on Information Systems 2010, AMCIS 2010
Pages Range: 538-550
Conference Proceedings Title: Proceedings of the Sixteenth Americas Conference on Information Systems
Event location: Lima, Peru
Abstract
In recent years, several process models for data quality management have been proposed. As data quality problems are highly application-specific, these models have to remain abstract. This leaves the question of what to do exactly in a given situation unanswered. The task of implementing a data quality process is usually delegated to data quality experts. To do so, they rely heavily on input from domain experts, especially regarding data quality rules. However, in large engineering projects, the number of rules is very large and different domain experts might have different data quality needs. This considerably complicates the task of the data quality experts. Nevertheless, the domain experts need quality measures to support their decision-making process what data quality problems to solve most urgently. In this paper, we propose a MetaDataRepository architecture which allows domain experts to model their quality expectations without the help from technical experts. It balances three conflicting goals: non-intrusiveness, simple and easy usage for domain experts and sufficient expressive power to handle most common data quality problems in a large concurrent engineering environment.
Authors with CRIS profile
Juliane Blechinger
Chair for Computer Science 6 (Data Management)
Frank Lauterwald
Chair for Computer Science 6 (Data Management)
Richard Lenz
Professur für evolutionäres Datenmanagement
Related research project(s)
How to cite
APA:
Blechinger, J., Lauterwald, F., & Lenz, R. (2010). Supporting the Production of High-Quality Data in Concurrent Plant Engineering Using a MetaDataRepository. In Proceedings of the Sixteenth Americas Conference on Information Systems (pp. 538-550). Lima, Peru, PE.
MLA:
Blechinger, Juliane, Frank Lauterwald, and Richard Lenz. "Supporting the Production of High-Quality Data in Concurrent Plant Engineering Using a MetaDataRepository." Proceedings of the 16th Americas Conference on Information Systems, Lima, Peru 2010. 538-550.
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