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Djen Chiu posted an update 2 years, 1 month ago
Discussed in this article is Data Quality defined as a challenge, as measurable data characteristics, as process controls, and as frameworks:
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Generally, data quality can be described as objectively “cleansing” data to ensure optimal quality and usefulness. Since this concept has been heavily broadened by the numerous frameworks that attempt to explain it, five dimensions are most commonly used today: Accuracy, Completeness, Currency, Standardization, and Representative. To become quality data, it must be void of inaccuracy, incompleteness, inconsistency, invalidity, and redundancy. These criteria may vary for different purposes. However, it is essential to emphasize these dimensions when working in a clinical laboratory setting.
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