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Subjective Information Quality in Data Integration: Evaluation and Principles

Subjective Information Quality in Data Integration: Evaluation and Principles

Ahmed AbuHalimeh, M. Eduard Tudoreanu
Copyright: © 2014 |Pages: 22
ISBN13: 9781466648920|ISBN10: 1466648929|EISBN13: 9781466648937
DOI: 10.4018/978-1-4666-4892-0.ch003
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MLA

AbuHalimeh, Ahmed, and M. Eduard Tudoreanu. "Subjective Information Quality in Data Integration: Evaluation and Principles." Information Quality and Governance for Business Intelligence, edited by William Yeoh, et al., IGI Global, 2014, pp. 44-65. https://doi.org/10.4018/978-1-4666-4892-0.ch003

APA

AbuHalimeh, A. & Tudoreanu, M. E. (2014). Subjective Information Quality in Data Integration: Evaluation and Principles. In W. Yeoh, J. Talburt, & Y. Zhou (Eds.), Information Quality and Governance for Business Intelligence (pp. 44-65). IGI Global. https://doi.org/10.4018/978-1-4666-4892-0.ch003

Chicago

AbuHalimeh, Ahmed, and M. Eduard Tudoreanu. "Subjective Information Quality in Data Integration: Evaluation and Principles." In Information Quality and Governance for Business Intelligence, edited by William Yeoh, John R. Talburt, and Yinle Zhou, 44-65. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4892-0.ch003

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Abstract

This chapter focuses on the science of human perception of information quality and describes a subset of Information Quality (IQ) dimensions, which are termed Subjective Information Quality (SIQ). These dimensions typically require a user’s opinion and do not have a clear mathematical technique for finding their value. Note that most dimensions can be measured through multiple techniques, but the SIQ ones are most useful when the user’s experience, opinion, or performance is accounted for. This chapter explores SIQ while considering information obtained from multiple sources, which is a common occurrence when employing visualizations to perform business or intelligence analytics. Thus, the issues addressed here are the assessment of subjective perception of quality of data shown through visual means and principles on how to estimate the subjective quality of combined information sources.

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