The data quality foundation in OMNIITOX information system
Other text in scientific journal, 2004

Goal and Scope: This paper describes the data quality foundation for the OMNIITOX information system, with regard to data quality requirements and maintenance. Main Features: The data quality concept applied in the OMNIITOX project is based on results that are successfully used in other contexts (Fig. 1). Specific data quality requirements have been developed, which are applied in data acquisition and data review. The data quality requirements and quality maintenance is supported by the OMNIITOX concept model, which supplies a common language for the users from the different disciplines. Results and Discussion: The quality requirements and the concept model have been tested during data acquisition for the information system, and have been found to be a successful framework. The results from practical work demonstrate that it is possible to have a common understanding of the concept model and quality requirements. The user's experience the initial phase of learning the concepts and quality requirements as tedious. Nevertheless, experiences show that the users will benefit from the education during the further work. A considerable amount of data has been acquired based on the data quality foundation. Conclusions: The data quality foundation has been a successful framework for managing data quality in the design and establishment of the OMNIITOX information system. The data quality concept, the concept model, and specific quality requirements are applied as quality management tools to find, acquire, document, and interpret the information. Several quality issues deriving from interdisciplinary differences between the different users have been resolved, which facilitates a common understanding and reduces the risk of misinterpretations and misuse of information. Recommendations and Outlook: An important task for the finalization of the OMNIITOX project is to secure the credibility and long-term stability of the information system. The OMNIITOX information system will somewhat have less potential to support the toxicology related assessments in Europe if any of the involved disciplines chooses to reject or not to apply the concept model and the quality requirements.

OMNIITOX

Data quality

information system (IS)

data quality management

Author

Maria Erixon

Chalmers, Centre for Environment and Sustainability (GMV)

Raul Carlson

Chalmers, Centre for Environment and Sustainability (GMV)

Karolina Flemström

Chalmers, Centre for Environment and Sustainability (GMV)

Ann-Christin Pålsson

Chalmers, Centre for Environment and Sustainability (GMV)

International Journal of Life Cycle Assessment

0948-3349 (ISSN) 1614-7502 (eISSN)

Vol. 9 5

Subject Categories

Other Environmental Engineering

DOI

10.1007/BF02979423

More information

Latest update

7/31/2023