Affiliation:
1. Social and Decision Analytics Laboratory, Biocomplexity Institute of Virginia Tech, Arlington, Virginia 22203;, , , ,
Abstract
Data, and hence data quality, transcend all boundaries of science, commerce, engineering, medicine, public health, and policy. Data quality has historically been addressed by controlling the measurement processes, controlling the data collection processes, and through data ownership. For many data sources being leveraged into data science, this approach to data quality may be challenged. To understand that challenge, a historical and disciplinary perspective on data quality, highlighting the evolution and convergence of data concepts and applications, is presented.
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Cited by
31 articles.
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