The Evolution of Data Quality: Understanding the Transdisciplinary Origins of Data Quality Concepts and Approaches

• DOI: 10.1146/annurev-statistics-060116-054114
• Publication Date: 2017-01-16T13:37:33Z
• Authors: Sallie Keller; Gizem Korkmaz; Mark Orr; Aaron Schroeder; Stephanie Shipp
• Keywords: Data governance; Discipline

Data, and hence data quality, transcend all boundaries of science, commerce, engineering, medicine, public health, policy. Data quality has historically been addressed by controlling the measurement processes, collection through ownership. For many sources being leveraged into this approach to may be challenged. To understand that challenge, a historical disciplinary perspective on highlighting evolution convergence concepts applications, is presented.