44 Copyright © 2014, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 3 Subjective Information Quality in Data Integration: Evaluation and Principles 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. INTRODUCTION Modern analytics tools employed in business, intelligence, and even science, rely increasingly on rapid exploration of multiple information spaces and on a combination of various information di- mensions and sources performed by an analyst. Integrating information quality involves provid- ing users with a unified view of this data quality. This process becomes significant in a variety of situations both commercial and scientific, par- ticularly with the widespread use of information visualization to allow end-users prompt access to large amounts of data. Integrating information appears with increasing frequency as the volume and the need to share existing information grows. Ahmed AbuHalimeh University of Arkansas – Little Rock, USA M. Eduard Tudoreanu University of Arkansas – Little Rock, USA DOI: 10.4018/978-1-4666-4892-0.ch003