Data quality has been an active area of information systems research, particularly in the 1990s. For example, the Workshop on Information Technologies and Systems (WITS) has had data quality panel and paper sessions each year since 1991. Improving the quality of organizational data requires interdisciplinary research from both the managerial and technical researchers. The purpose of this panel, therefore, is to assess the state-of-the-artof research on data quality and to discuss emerging research issues
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
According to Gartner, human data-entry errors, and lack of proper corporate data standards result in...
The World Wide Web has brought a wave of revolutionary changes for people and organizations to gener...
The body of knowledge on data and information quality is highly diversified, primarily due to the cr...
Data Quality is a cross-disciplinary and often do-main specic problem due to the importance of t-nes...
Research and practice in data and information quality is characterized by methodological as well as ...
The aim of this review is to highlight issues in data quality research and to discuss potential rese...
The body of knowledge on data and information quality is highly diversified, primarily ...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
The aim of this review is to highlight issues in data quality research and to discuss potential res...
Regardless of the field of study, sharing data is one of the most fundamental aspects of maintaining...
Technology has been the catalyst that has facilitated an explosion of organisational data in terms o...
We present the old-but-also-new problem of data quality from a statistical perspective, in part with...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
Although managers consider accurate, timely and relevant information as critical to the quality of t...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
According to Gartner, human data-entry errors, and lack of proper corporate data standards result in...
The World Wide Web has brought a wave of revolutionary changes for people and organizations to gener...
The body of knowledge on data and information quality is highly diversified, primarily due to the cr...
Data Quality is a cross-disciplinary and often do-main specic problem due to the importance of t-nes...
Research and practice in data and information quality is characterized by methodological as well as ...
The aim of this review is to highlight issues in data quality research and to discuss potential rese...
The body of knowledge on data and information quality is highly diversified, primarily ...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
The aim of this review is to highlight issues in data quality research and to discuss potential res...
Regardless of the field of study, sharing data is one of the most fundamental aspects of maintaining...
Technology has been the catalyst that has facilitated an explosion of organisational data in terms o...
We present the old-but-also-new problem of data quality from a statistical perspective, in part with...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
Although managers consider accurate, timely and relevant information as critical to the quality of t...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
According to Gartner, human data-entry errors, and lack of proper corporate data standards result in...
The World Wide Web has brought a wave of revolutionary changes for people and organizations to gener...