Executive Summary/Abstract: The “Data Quality Act” is a recent law in the United States requiring every federal agency in the U.S. Government to produce information quality guidelines. It further implies that the agencies are required to follow those guidelines giving them the effect of standards. At the U. S. Department of Transportation we have written guidelines to comply with the Act, impro...

Awareness of data and information quality issues has grown rapidly in light of the critical role played by the quality of information in our data-intensive, knowledge-based economy. Research in the past two decades has produced a large body of data quality knowledge and has expanded our ability to solve many data and information quality problems. We present an overview of the evolution and curr...

This article investigates the evolution of data quality issues from traditional structured data managed in relational databases to Big Data. In particular, The paper examines the nature of the relationship between Data Quality and several research coordinates that are relevant in Big Data, such as the variety of data types, data sources and application domains, focusing on maps, semistructured ...

Data quality (DQ) has been defined as “fitness for use” of the data (also called Information Quality). A single aspect of data quality is defined as a “dimension” such as “consistency”, “accuracy”, “completeness”, or “timeliness”. In order to assess and improve data quality, “methodologies” have been defined. Data quality methodologies are sets of guidelines and techniques that are designed for...

The value of management decisions, the security of our nation, and the very foundations of our business integrity are all dependent on the quality of data and information. However, the quality of the data and information is dependent on how that data or information will be used. This paper proposes a theory of data quality based on the five principles defined by J. M. Juran for product and serv...

Information quality (IQ) problems can have severe consequences in the health care sector. Since its inception, the Canadian Institute for Health Information (CIHI) has recognized the importance of information quality and has implemented a new method designed to evaluate the data quality of the numerous CIHI data holdings. The goal of evaluation is to identify data quality priorities for the pur...