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United States
Environmental Protection
AgencyOffice of Research and
Development
Washington, D.C. 20460Data Quality Evaluation
Statistical Toolbox
(Dataset)
Users Guide EPA QA/G9D
QA96 Version EPA/600/R96/085
December
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What is data quality evaluation?
Data quality evaluation is the process of assessing the accuracy, completeness, consistency, and reliability of data to ensure its usefulness and reliability for decision-making and other purposes.
Who is required to file data quality evaluation?
The organizations or individuals responsible for collecting, managing, and maintaining the data are typically required to file data quality evaluation reports.
How to fill out data quality evaluation?
The process of filling out a data quality evaluation report varies depending on the specific requirements of the organization or regulatory body. Generally, it involves assessing various data quality dimensions, such as completeness, accuracy, consistency, and timeliness, and documenting any issues or recommendations for improvement.
What is the purpose of data quality evaluation?
The purpose of data quality evaluation is to identify and measure the level of data quality, assess the fitness for use of the data, identify areas for improvement, and ensure that data meets the requirements and standards set by the organization or regulatory body.
What information must be reported on data quality evaluation?
The specific information that must be reported on a data quality evaluation depends on the requirements of the organization or regulatory body. Generally, it includes information about the data sources, data quality dimensions assessed, the methodology used, any issues or problems identified, and recommendations for improvement.
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