An overview of data quality frameworks
C Cichy, S Rass - Ieee Access, 2019 - ieeexplore.ieee.org
Nowadays, the importance of achieving and maintaining a high standard of data quality is
widely recognized by both practitioners and researchers. Based on its impact on …
widely recognized by both practitioners and researchers. Based on its impact on …
Methodologies for data quality assessment and improvement
The literature provides a wide range of techniques to assess and improve the quality of data.
Due to the diversity and complexity of these techniques, research has recently focused on …
Due to the diversity and complexity of these techniques, research has recently focused on …
Data and information quality
C Batini, M Scannapieco - Cham, Switzerland: Springer International …, 2016 - Springer
This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …
Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and …
Today׳ s supply chain professionals are inundated with data, motivating new ways of
thinking about how data are produced, organized, and analyzed. This has provided an …
thinking about how data are produced, organized, and analyzed. This has provided an …
Overview of data quality: Examining the dimensions, antecedents, and impacts of data quality
J Wang, Y Liu, P Li, Z Lin, S Sindakis… - Journal of the Knowledge …, 2024 - Springer
Competition in the business world is fierce, and poor decisions can bring disaster to firms,
especially in the big data era. Decision quality is determined by data quality, which refers to …
especially in the big data era. Decision quality is determined by data quality, which refers to …
Open data quality measurement framework: Definition and application to Open Government Data
Abstract The diffusion of Open Government Data (OGD) in recent years kept a very fast pace.
However, evidence from practitioners shows that disclosing data without proper quality …
However, evidence from practitioners shows that disclosing data without proper quality …
Data quality assessment
How good is a company's data quality? Answering this question requires usable data quality
metrics. Currently, most data quality measures are developed on an ad hoc basis to solve …
metrics. Currently, most data quality measures are developed on an ad hoc basis to solve …
AIMQ: a methodology for information quality assessment
Information quality (IQ) is critical in organizations. Yet, despite a decade of active research
and practice, the field lacks comprehensive methodologies for its assessment and …
and practice, the field lacks comprehensive methodologies for its assessment and …
Data quality in context
DQ problems may arise anywhere in this larger IS context. 2 Thus, we argue for a
conceptualization of data quality that includes this context. Database research aims at …
conceptualization of data quality that includes this context. Database research aims at …
Antecedents of information and system quality: an empirical examination within the context of data warehousing
Understanding the successful adoption of information technology is largely based upon
understanding the linkages among quality, satisfaction, and usage. Although the satisfaction …
understanding the linkages among quality, satisfaction, and usage. Although the satisfaction …