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Characteristics of Data Quality
Terms in this set (11)
Data are the correct values and are valid.
Data items should be easily obtainable and legal to collect.
All required data items are included. Ensure that the entire scope of the data is collected, and document intentional limitations.
The value of the data should be reliable and the same across applications.
The data should be up to date. A datum value is up to date if it is current for a specific point in time. It is outdated if it was current at some preceding time yet incorrect at a later time.
Clear definitions should be provided so that current and future data users will know what the data mean. Each data element should have clear meaning and acceptable values.
The attributes and values of data should be defined at the correct level of detail.
Data are true to the source and have not been altered or destroyed.
Data values should be just large enough to support the application or process.
The data are meaningful tot he performance of the process or application for which they are collected.
Timeliness is determined by how the data are being used and their context.
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