Assessing Data Quality of Integrated Data by Quality Aggregation of its Ancestors
Evaluación de Calidad de Datos Integrados por Agregación de Calidad de sus Ancestros
Maria del Pilar Angeles1 and Lachlan Mhor MacKinnon2
1 Facultad de Ingeniería, División de Ingeniería Eléctrica, Departamento Computación,UNAM. Edificio "Bernardo Quintana" 2do. Piso, CU., C.P., 04510 México D.F. Tel. 56223012. pilar@macs.hw.ac.uk
2 Computing & Creative Technologies, University of Abertay Dundee Dundee DD1 HG. Tel. 01382308601. mackinnon@abertay.ac.uk
]]>Article received on April 29, 2008
Accepted on January 05, 2009
Resumen
La calidad de los datos se degrada durante el proceso de extracción y fusión de datos a partir de múltiples fuentes de datos heterogéneas. Además, los usuarios no tienen información acerca de la calidad de los datos que accesan.
Este documento presenta los métodos utilizados para la evaluación de la calidad de datos a múltiples niveles de granularidad, incluyendo datos derivados no atómicos teniendo en cuenta la proveniencia de los datos. El prototipo del Manejador de Calidad de Datos ha sido implementado para poder probar dicha evaluación.
Palabras clave: Calidad de Datos, Datos derivados, Integración de Datos, Evaluación de Calidad de Datos.
Abstract
]]> Data Quality is degraded during the process of extracting and merging data from multiple heterogeneous sources. Besides, users have no information regarding the quality of the accessed data.This document presents the methods utilized to assess data quality at multiple levels of granularity, including derived non–atomic data, considering data provenance. The Data Quality Manager prototype has been implemented and tested to prove such assessment.
Keywords: Data Quality, Derived Data, Data Integration, Assessment of Data Quality.
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