Research on the Dimensions of Data Quality

Many people find the dimensions of data quality intriguing. If you find yourself in this situation, needing to collect more information for clients, associates, your boss, or your own research, then you've come to the right place. Below you will find a short list of research on the topic of the dimensions of data quality or associated concepts. Please email us more citations as you come across them and spread the word about this website/resource. To recommend additions email admin[at]

IDAuthorsTitleDate PublishedShort DescriptionPages
1Diane Strong, Richard WangBeyond Accuracy: What Data Quality Means to Data Consumers1996The purpose of this paper is to develop a framework that captures the aspects of data quality that are important to data consumers.all
2Craig FisherIntroduction to Information Quality2011Introduction to Information Quality with section on dimensions of Data Quality.49-78
3Richard Wang, Thomas Allen, Wesley Harris, Stuart MadnickAn Information Product Approach For Total Information Awareness-MIT Sloan School of Management, Working Paper 4407-02November, 2002Discussion about how the right data wasn't available or considered relevant, credible or accurate leading up to the September 11, 2001 terrorist attacks. Using this as an example, a proposed approach to Total Information Awareness with Quality (TIAQ) is covered in the paper.various
4Carlo Batini,
Cinzia Cappiello,
Chiara Francalanci,
Andrea Maurino
Methodologies for data quality assessment and improvement2009The goal of this article is to provide a systematic and comparative description of such methodologies. Methodologies are compared along several dimensions, including the methodological phases and steps, the strategies and techniques, the data quality dimensions, the types of data, and, finally, the types of information systems
addressed by each methodology. The article concludes with a summary description of each methodology.
5Larry EnglishImproving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profit1999Section of his book describing the dimensions of data quality.141-153
6Danette McGilvrayExecuting Data Quality Projects: Ten Steps to Quality Data and Trusted Information2008Section of his book describing the dimensions of data quality.30-35
7Thomas RedmanData Quality For The Information Age1997Chapter 13. Dimensions of Data Quality245-269 (log. 253-275)
8Various Contributors from DAMA-UKTHE SIX PRIMARY DIMENSIONS FOR DATA QUALITY ASSESSMENT- Defining Data Quality DimensionsOctober, 2013Article/White Papern/a (16 pages long)
9Alexander Borek, Ajith K. Parlikad, Jela Webb, Philip WoodallTotal Information Risk Management- Maximizing the Value of Data and Information Assets2014Few pages of the book discussing how to use the dimensions of data quality within the TIRM methodology and recommending a list of dimensions to use.79 (log. 101)
10Dan MyersThe Value of Using the Dimensions of Data Quality2013This is a series of five articles on the dimensions of data quality and how much agreement there is among six authors/organizations regarding the definitions of each dimension.~10
11David LoshinEnterprise Knowledge Management: The Data Quality Approach. Morgan Kaufmann.2009Chapter 5, Dimensions of Data Qualityp101-124 (Log. 117-140)
12Yang W. Lee, Leo L. Pipino, James D. Funk, and Richard Y. WangJourney to Data Quality, MIT Press2006Discussion across various topicsvarious
13International Organization for Standardization (ISO)ISO/IEC 25012:2008, Software engineering -- Software product Quality Requirements and Evaluation (SQuaRE) -- Data quality model2008"ISO/IEC 25012:2008 defines a general data quality model for data retained in a structured format within a computer system. ISO/IEC 25012:2008 categorizes quality attributes into fifteen characteristics considered by two points of view: inherent and system dependent. Data quality characteristics will be of varying importance and priority to different stakeholders." (ISO Website)n/a
14Richard Wang, Lisa GuarascioDimensions of Data Quality- Toward Quality Data by Design1991 all
15Larry EnglishTo a High IQ! Information Content Quality: Assessing the Quality of the Information Product2006English highlights three important 'components' of what he calls IQ Characteristics [Dimensions]. These include: Information Definition Quality, Information Content Quality, Information Presentation Quality.all
16Dan Myers, Brian Blake(Academic Paper: An Evaluation of the Conformed Dimensions of Data Quality in Application to an Existing Information Quality-Privacy-Trust Research Framework) (Presentation from ICIQ 2017: Presentation)2017Brian Blake discusses the use of the Conformed Dimensions as framework and definitions for his research into IQ and privacy/trust. Then Dan Myers discusses how to use the Conformed Dimensions to measure subjective dimensions of data quality, such as Believability.all
17Christopher Fox, Anany Levitin, Thomas RedmanThe Notion of Data and Its Quality Dimensions (Information Processing & Management Vol. 30, No. 1, pp. 9-19)1994Includes introduction discussing what data is and then discusses dimensions of data quality. Covers author's early thoughts on separation of dimensions into 3 categories Model, Data Values, Representation- with the article focused on the Data Values only.all
18Dan MyersMapping the ISO Dimensions of Data Quality to the Conformed Dimensions of Data Quality (CDDQ)December 22, 2017The primary purpose for conducting this comparison of the CDDQ to the ISO/IEC 25012:2008 Data Quality Model’s Dimensions of Data Quality was to identify how comprehensive the CDDQ is if used as an organizational standard and even an industry standard.all
19Donald Ballou, Richard Wang, Harold Pazer, Giri Kumar.TayiModeling Information Manufacturing Systems
to Determine Information Product Quality
August, 1994We consider four attributes of information products in this paper: timeliness, data quality, cost, and value. In particular, we focus on timeliness and data quality.all

Other Helpful Resources:

  • Information Quality Framework (from legacy organization, IAIDQ/IQ International) Overview by Dan Myers