Total data quality management: a study of bridging rigor and relevance


Wijnhoven, Fons and Boelens, Roy and Middel, Rick and Louissen, Kor (2007) Total data quality management: a study of bridging rigor and relevance. In: 15th European Conference on Information Systems, ECIS 2007, June 7-9, 2007, St. Gallen, Switserland (pp. pp. 925-937).

open access
Abstract:Ensuring data quality is of crucial importance to organizations. The Total Data Quality Management (TDQM) theory provides a methodology to ensure data quality. Although well researched, the TDQM methodology is not easy to apply. In the case of Honeywell Emmen, we found that the application of the methodology requires considerable contextual redesign, flexibility in use, and the provision of practical tools. We identified team composition, toolsets, development of obvious actions, the design of phases, steps, and actions, and sessions as vital elements of making an academically rooted methodology applicable. Such an applicable methodology, we name “well articulated”, because it incorporates the existing academic theory and it is made operational. This enables the methodology to be systematically beta tested and made useful for different organizational conditions.
Item Type:Conference or Workshop Item
Faculty of Behavioural, Management and Social sciences (BMS)
Research Chair:
Research Group:
Link to this item:
Conference URL:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page