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 …
Beyond accuracy: What data quality means to data consumers
Poor data quality (DQ) can have substantial social and economic impacts. Although firms
are improving data quality with practical approaches and tools, their improvement efforts …
are improving data quality with practical approaches and tools, their improvement efforts …
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 …
A product perspective on total data quality management
RY Wang - Communications of the ACM, 1998 - dl.acm.org
The terms data and information are often used synonymously; in practice, managers
differentiate information from data intu-itively, and describe information as data that has …
differentiate information from data intu-itively, and describe information as data that has …
A framework for analysis of data quality research
Organizational databases are pervaded with data of poor quality. However, there has not
been an analysis of the data quality literature that provides an overall understanding of the …
been an analysis of the data quality literature that provides an overall understanding of the …
Modeling information manufacturing systems to determine information product quality
Many of the concepts and procedures of product quality control can be applied to the
problem of producing better quality information outputs. From this perspective, information …
problem of producing better quality information outputs. From this perspective, information …
Chain of values: Examining the economic impacts of blockchain on the value-added tax system
Blockchain technology can benefit inter-organizational activities by improving data integrity,
increasing transaction transparency, and decreasing transaction costs. In this paper, we …
increasing transaction transparency, and decreasing transaction costs. In this paper, we …
Data cleansing
JI Maletic, A Marcus - Data mining and knowledge discovery handbook, 2005 - Springer
This chapter analyzes the problem of data cleansing and the identification of potential errors
in data sets. The differing views of data cleansing are surveyed and reviewed and a brief …
in data sets. The differing views of data cleansing are surveyed and reviewed and a brief …