Abstract

http://ssrn.com/abstract=1075722
 
 

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Evaluating and Aggregating Data Believability across Quality Sub-Dimensions and Data Lineage


Nicolas Prat


ESSEC Business School

Stuart Madnick


Massachusetts Institute of Technology (MIT) - Sloan School of Management

December 1, 2007

MIT Sloan Research Paper No. 4670-07

Abstract:     
Data quality is crucial for operational efficiency and sound decision making. This paper focuses on believability, a major aspect of data quality. The issue of believability is particularly relevant in the context of Web 2.0, where mashups facilitate the combination of data from different sources. Our approach for assessing data believability is based on provenance and lineage, i.e. the origin and subsequent processing history of data. We present the main concepts of our model for representing and storing data provenance, and an ontology of the sub-dimensions of data believability. We then use aggregation operators to compute believability across the sub-dimensions of data believability and the provenance of data. We illustrate our approach with a scenario based on Internet data. Our contribution lies in three main design artifacts (1) the provenance model (2) the ontology of believability subdimensions and (3) the method for computing and aggregating data believability. To our knowledge, this is the first work to operationalize provenance-based assessment of data believability.

Number of Pages in PDF File: 8

Keywords: Quality Sub-Dimensions, Data Lineage

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Date posted: December 19, 2007 ; Last revised: January 6, 2009

Suggested Citation

Prat, Nicolas and Madnick, Stuart, Evaluating and Aggregating Data Believability across Quality Sub-Dimensions and Data Lineage (December 1, 2007). MIT Sloan Research Paper No. 4670-07. Available at SSRN: http://ssrn.com/abstract=1075722 or http://dx.doi.org/10.2139/ssrn.1075722

Contact Information

Nicolas Prat
ESSEC Business School ( email )
Av Bernard Hirsch
B.P 50105
Cergy-Pontoise, 95021
France
Stuart E. Madnick (Contact Author)
Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )
E53-321
Cambridge, MA 02142
United States
617-253-6671 (Phone)
617-253-3321 (Fax)
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