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AAPOR2014Tradeoffs in Quality: Examining the Relationship between Cell Telephone Respondent Location and Data Quality Christopher Ward1, Becky Reimer1, Laurie ElamEvans2, David Yankey2, Deena Khare3
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Data quality refers to the accuracy, completeness, reliability, and relevance of data. Data, on the other hand, refers to raw facts, figures, and statistics.
The entities or individuals responsible for the collection, management, and storage of data are typically required to file data quality reports.
Data quality reports can be filled out by providing accurate and relevant information about the data being reported, ensuring consistency and completeness.
The purpose of data quality reports is to ensure that the data being used by an organization is of high quality, reliable, and accurate for decision-making.
Information such as data sources, data collection methods, data validation processes, and data usage must be reported on data quality reports.
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