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 …
Big data systems: A software engineering perspective
A Davoudian, M Liu - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Big Data Systems (BDSs) are an emerging class of scalable software technologies whereby
massive amounts of heterogeneous data are gathered from multiple sources, managed …
massive amounts of heterogeneous data are gathered from multiple sources, managed …
Implications of the Fourth Industrial Revolution for strategic leadership research and practice
The previous chapters paint a rich portrait of the trends, consequences, and implications of
the Fourth Industrial Revolution (4IR). In this closing chapter, we reflect upon these …
the Fourth Industrial Revolution (4IR). In this closing chapter, we reflect upon these …
Big data quality: A survey
With the advances in communication technologies and the high amount of data generated,
collected, and stored, it becomes crucial to manage the quality of this data deluge in an …
collected, and stored, it becomes crucial to manage the quality of this data deluge in an …
Big data quality framework: a holistic approach to continuous quality management
Big Data is an essential research area for governments, institutions, and private agencies to
support their analytics decisions. Big Data refers to all about data, how it is collected …
support their analytics decisions. Big Data refers to all about data, how it is collected …
Requirements for data quality metrics
B Heinrich, D Hristova, M Klier, A Schiller… - Journal of Data and …, 2018 - dl.acm.org
Data quality and especially the assessment of data quality have been intensively discussed
in research and practice alike. To support an economically oriented management of data …
in research and practice alike. To support an economically oriented management of data …
[HTML][HTML] AI for science: predicting infectious diseases
The global health landscape has been persistently challenged by the emergence and re-
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …
[HTML][HTML] Big data quality dimensions: a systematic literature review
A Ramasamy, S Chowdhury - JISTEM-Journal of Information Systems …, 2020 - SciELO Brasil
Although big data has become an integral part of businesses and society, there is still
concern about the quality aspects of big data. Past research has focused on identifying …
concern about the quality aspects of big data. Past research has focused on identifying …
Big data quality assessment model for unstructured data
Big Data has gained an enormous momentum the past few years because of the
tremendous volume of generated and processed Data from diverse application domains …
tremendous volume of generated and processed Data from diverse application domains …
An advanced big data quality framework based on weighted metrics
While big data benefits are numerous, the use of big data requires, however, addressing
new challenges related to data processing, data security, and especially degradation of data …
new challenges related to data processing, data security, and especially degradation of data …