20 years of data quality research: Themes, trends and synergies

Sadiq, Shazia, Yeganeh, Naiem Khodabandehloo and Indulska, Marta (2011). 20 years of data quality research: Themes, trends and synergies. In: Heng Tao Shen and Yanchun Zhang, Conferences in Research and Practice in Information Technology (CRPIT). Proceedings of: The 22nd Australasian Database Conference (ADC 2011). Twenty-Second Australasian Database Conference [ADC], Perth, WA, Australia, (1-10). 17-20 January 2011.

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Author Sadiq, Shazia
Yeganeh, Naiem Khodabandehloo
Indulska, Marta
Title of paper 20 years of data quality research: Themes, trends and synergies
Conference Paper Type Fully Published Paper
Conference name Twenty-Second Australasian Database Conference [ADC]    (ERA 2010 Rank B)
Conference location Perth, WA, Australia
Conference dates 17-20 January 2011
Convener Computing Research and Education Association (CORE)
Proceedings title Conferences in Research and Practice in Information Technology (CRPIT). Proceedings of: The 22nd Australasian Database Conference (ADC 2011)
Editor Heng Tao Shen
Yanchun Zhang
Place published Sydney, NSW, Australia
Publisher Australian Computer Society
Publication date 2011
Volume number 115
ISBN 9781920682958
ISSN 1445-1336
Start page 1
End page 10
Total pages 10
Collection year 2012
Formatted Abstract/Summary Data Quality is a cross-disciplinary and often domain specific problem due to the importance of fitness for use in the definition of data quality metrics. It has been the target of research and development for over 4 decades by business analysts, solution architects, database experts and statisticians to name a few. However, the changing landscape of data quality challenges indicate the need for holistic solutions. As a first step towards bridging any gaps between the various research communities, we undertook a comprehensive literature study of data quality research published in the last two decades. In this study we considered a broad range of Information System (IS) and Computer Science (CS) publication (conference and journal) outlets. The main aims of the study were to understand the current landscape of data quality research, to create better awareness of (lack of) synergies between various research communities, and, subsequently, to direct attention towards holistic solutions. In this paper, we present a summary of the findings from the study, that include a taxonomy of data quality problems, identification of the top themes, outlets and main trends in data quality research, as well as a detailed thematic analysis that outlines the overlaps and distinctions between the focus of IS and CS publications.
Copyright @2011, Australian Computer Society, Inc. This paper appeared at the 22nd Australasian Database Conference (ADC 2011), Perth, Australia, January 2011. Conferences in Research and Practice in Information Technology (CRPIT), Vol. 115, Heng Tao Shen and Yanchun Zhang, Ed. Reproduction for academic, not-for profit purposes permitted provided this text is included.
Subjects 0804 Data Format
Keyword Data Quality
Literature Survey
Research Framework
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Fri, 17 Dec 2010, 15:32:17 EST by Karen Morgan on behalf of School of Information Technol and Elec Engineering