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Kings/Tulane HIS Data Quality PlanTable of ContentsDefinition of Data Quality........................................................................................................ 3 Importance of
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What is data quality - what?
Data quality refers to the accuracy, completeness, consistency, reliability, and relevance of data.
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Data quality is typically the responsibility of data analysts, data scientists, data engineers, or any individual who handles data within an organization.
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Data quality can be improved by implementing data validation processes, data cleansing techniques, and using quality assurance tools.
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The purpose of data quality is to ensure that data is reliable, accurate, and actionable for decision-making.
What information must be reported on data quality - what?
Information to be reported on data quality includes data sources, data collection methods, data processing steps, and data quality metrics.
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