Results 311 to 320 of about 29,969,840 (342)
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Structured data quality reports to improve EHR data quality
International Journal of Medical Informatics, 2015To examine whether a structured data quality report (SDQR) and feedback sessions with practice principals and managers improve the quality of routinely collected data in EHRs.The intervention was conducted in four general practices participating in the Fairfield neighborhood electronic Practice Based Research Network (ePBRN).
Jane Taggart, Siaw-Teng Liaw, Hairong Yu
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The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards
Data Protection and Privacy, 2018Artificial intelligence (AI) systems built on incomplete or biased data will often exhibit problematic outcomes. Current methods of data analysis, particularly before model development, are costly and not standardized.
Sarah Holland +4 more
semanticscholar +1 more source
2009
Publisher Summary Data quality ensures the accuracy and timeliness of data and it is much easier to ensure data quality before data get into a database than after they are stored. To be useful, the data in a database must be accurate, timely, and available when needed.
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Publisher Summary Data quality ensures the accuracy and timeliness of data and it is much easier to ensure data quality before data get into a database than after they are stored. To be useful, the data in a database must be accurate, timely, and available when needed.
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Drug News & Perspectives, 1998
When collecting data, deciding what type and how much to obtain will depend in large measure on how the data will be used and the group(s) that will be given the data, as well as the risk-taking or risk-averse position adopted. Among the most important issues involving the quality of data are knowing what plans and activities will lead to obtaining ...
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When collecting data, deciding what type and how much to obtain will depend in large measure on how the data will be used and the group(s) that will be given the data, as well as the risk-taking or risk-averse position adopted. Among the most important issues involving the quality of data are knowing what plans and activities will lead to obtaining ...
openaire +3 more sources
2001
Publisher Summary This chapter focuses on the practical process of aligning business user data quality expectations that can be measured and then correlated to the identified business impacts. Various ways to help classify data quality expectations with ways to measure conformance to these expectations are elaborated in the chapter.
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Publisher Summary This chapter focuses on the practical process of aligning business user data quality expectations that can be measured and then correlated to the identified business impacts. Various ways to help classify data quality expectations with ways to measure conformance to these expectations are elaborated in the chapter.
openaire +2 more sources
2017
This entry presents a definition of data and their quality dimensions as the basis for a survey of data quality management and improvement techniques, with special attention to data published on the Internet. Over the past several years several factors have contributed to making improved data quality an urgent priority.
Christopher J. Fox +2 more
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This entry presents a definition of data and their quality dimensions as the basis for a survey of data quality management and improvement techniques, with special attention to data published on the Internet. Over the past several years several factors have contributed to making improved data quality an urgent priority.
Christopher J. Fox +2 more
openaire +2 more sources
1996
There are serious obstacles to systematic studies of dream content. First, as noted in the first chapter, it is not possible to introduce stimuli that regularly produce predictable variability in dream content, so an experimental approach is not very useful.
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There are serious obstacles to systematic studies of dream content. First, as noted in the first chapter, it is not possible to introduce stimuli that regularly produce predictable variability in dream content, so an experimental approach is not very useful.
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Big Data Quality: A Data Quality Profiling Model
2019Big Data is becoming a standard data model, and it is gaining wide adoption in the digital universe. Estimating the Quality of Big Data is recognized to be essential for data management and data governance. To ensure a fast and efficient data quality assessment represented by its dimensions, we need to extend the data profiling model to incorporate ...
Ikbal Taleb +2 more
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Big data quality framework: a holistic approach to continuous quality management
Journal of Big Data, 2021Ikbal Taleb +3 more
semanticscholar +1 more source
2007
This chapter presents results from a large-scale survey of Australian CPA members regarding data quality. The research investigates and reports major stakeholders’ opinions on the importance of critical success factors affecting data quality and the actual performance on each of those factors. The results reveal whether dissimilarly sized organizations
Jeretta Horn Nord +3 more
openaire +1 more source
This chapter presents results from a large-scale survey of Australian CPA members regarding data quality. The research investigates and reports major stakeholders’ opinions on the importance of critical success factors affecting data quality and the actual performance on each of those factors. The results reveal whether dissimilarly sized organizations
Jeretta Horn Nord +3 more
openaire +1 more source