Assessment and analysis of information quality: a multidimensional model and case studies

Information quality is a complex and multidimensional notion. In the context of information system engineering, it is also a transversal notion and to be fully understood, it needs to be evaluated jointly considering the quality of data, the quality of the underlying conceptual data model and the quality of the software system that manages these data. This paper presents a multidimensional model for exploring information in a multidimensional way, which aids in the navigation, filtering, and interpretation of quality measures, and thus in the identification of the most appropriate actions to improve information quality. Two application scenarios are presented to illustrate and validate the multidimensional approach: the first one concerns the quality of customer information at Electricite de France, a French Electricity Company, and the second concerns the quality of patient records at Curie Institute, a well-known medical institute in France. The instantiation of our multidimensional model in these contexts shows first illustrations of its applicability.

[1]  Felix Naumann,et al.  Completeness of Information Sources , 2000 .

[2]  Carlo Batini,et al.  Methodologies for data quality assessment and improvement , 2009, CSUR.

[3]  Felix Naumann,et al.  Assessment Methods for Information Quality Criteria , 2000, IQ.

[4]  Richard Y. Wang,et al.  Data quality assessment , 2002, CACM.

[5]  Peralta Costabel,et al.  Data quality evaluation in data integration systems , 2006 .

[6]  Felix Naumann,et al.  Quality-driven Integration of Heterogenous Information Systems , 1999, VLDB.

[7]  Carlo Batini,et al.  Data Quality , 2008, Encyclopedia of GIS.

[8]  Houari A. Sahraoui,et al.  Towards a Multidimensional Model for Web-Based Applications Quality Assessment , 2004, EC-Web.

[9]  Erhard Rahm,et al.  Data Cleaning: Problems and Current Approaches , 2000, IEEE Data Eng. Bull..

[10]  Jennifer Widom,et al.  Trio: A System for Integrated Management of Data, Accuracy, and Lineage , 2004, CIDR.

[11]  Diane M. Strong,et al.  Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..

[12]  Mario Piattini,et al.  A Data Quality Measurement Information Model Based On ISO/IEC 15939 , 2007, ICIQ.

[13]  Matthias Jarke,et al.  Dwq : Esprit Long Term Research Project, No 22469 Data Warehouse Quality: a Review of the Dwq Project , 2022 .

[14]  Thomas Redman,et al.  Data quality for the information age , 1996 .

[15]  Verónika Peralta,et al.  Qbox-Foundation : a Metadata Platform for Quality Measurement , 2008 .

[16]  Felix Naumann,et al.  Data Quality in Genome Databases , 2003, ICIQ.

[17]  Matthias Jarke,et al.  Architecture and Quality in Data Warehouses: An Extended Repository Approach , 1999, Information Systems.

[18]  Diane M. Strong,et al.  Data quality in context , 1997, CACM.

[19]  Veda C. Storey,et al.  A Framework for Analysis of Data Quality Research , 1995, IEEE Trans. Knowl. Data Eng..

[20]  Larry P. English.  Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits , 1999 .

[21]  Giulianella Coletti,et al.  Measuring the Quality of Health-Care Services: A Likelihood-Based Fuzzy Modeling Approach , 2007, ECSQARU.

[22]  Milan Petkovic,et al.  Hedaquin: A Reputation-based Health Data Quality Indicator , 2008, STM@ESORICS.

[23]  Wanda Pratt,et al.  Supporting Consumers by Characterizing the Quality of Online Health Information: A Multidimensional Framework , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[24]  Tony Norris,et al.  Improving health care data quality: A practitioner's perspective , 2008, Int. J. Inf. Qual..

[25]  Roque Marín,et al.  Intensive Care Unit Platform for Health Care Quality and Intelligent Systems Support , 2008, DCAI.

[26]  H. D. Rombach,et al.  The Goal Question Metric Approach , 1994 .

[27]  Samira Si-Said Cherfi,et al.  A Framework for Quality Evaluation in Data Integration Systems , 2007, ICEIS.

[28]  Julian P T Higgins,et al.  Obstacles and opportunities in meta-analysis of genetic association studies , 2005, Genetics in Medicine.

[29]  Daniel L. Moody,et al.  Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions , 2005, Data Knowl. Eng..

[30]  Tiziana Catarci,et al.  Trusting Data Quality in Cooperative Information Systems , 2002, OTM.

[31]  Merja Miettinen,et al.  Information Quality in Healthcare: Coherence of Data Compared between Organization's Electronic Patient Records , 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

[32]  Ronan Fitzpatrick,et al.  Software quality: definitions and strategic issues , 1996 .