On Information Quality

Journal of the Royal Statistical Society, Series A, Forthcoming

34 Pages Posted: 13 Aug 2012

See all articles by Ron S. Kenett

Ron S. Kenett

KPA Ltd.; The Samuel Neaman Institute, Technion; University of Turin and College Carlo Alberto

Galit Shmueli

Institute of Service Science, National Tsing Hua University, Taiwan

Multiple version iconThere are 2 versions of this paper

Date Written: August 13, 2012

Abstract

We define the concept of Information Quality (InfoQ) as the potential of a dataset to achieve a specific (scientific or practical) goal using a given empirical analysis method. InfoQ is different from data quality and analysis quality, but is dependent on these components and on the relationship between them. We survey statistical methods for increasing InfoQ at the study-design and post-data-collection stages, and consider them relative to what we define as InfoQ. We propose eight dimensions that help assess InfoQ: Data Resolution, Data Structure, Data Integration, Temporal Relevance, Generalizability, Chronology of Data and Goal, Construct Operationalization, and Communication. We demonstrate the concept of InfoQ, its components (what it is) and assessment (how it is achieved) through three case studies in online auctions research. We suggest that formalizing the concept of InfoQ can help increase the value of statistical analysis, and data mining both methodologically and practically, thus contributing to a general theory of applied statistics.

Keywords: data, statistical modeling, data analytics, data mining, study design, study goal, data quality

Suggested Citation

Kenett, Ron S. and Shmueli, Galit, On Information Quality (August 13, 2012). Journal of the Royal Statistical Society, Series A, Forthcoming, Available at SSRN: https://ssrn.com/abstract=2128547

Ron S. Kenett

KPA Ltd. ( email )

Raanana
Israel
+97297408442 (Phone)
+97297408443 (Fax)

HOME PAGE: http://www.kpa-group.com

The Samuel Neaman Institute, Technion ( email )

HOME PAGE: http://https://www.neaman.org.il/EN/Ron-Kenett

University of Turin and College Carlo Alberto ( email )

Lungo Dora Siena 100
Torino, 10153
Italy

Galit Shmueli (Contact Author)

Institute of Service Science, National Tsing Hua University, Taiwan ( email )

Hsinchu, 30013
Taiwan

HOME PAGE: http://www.iss.nthu.edu.tw

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
169
Abstract Views
1,558
Rank
50,386
PlumX Metrics