Characteristics of data quality
From Clinfowiki
Characteristics of Data Quality
- Data Accuracy: The extent to which the data are free of identifiable errors
- Data Accessibility: Data items that are easily obtainable and legal to access with strong protections and controls built into the process
- Data Comprehensiveness: All required data items are included—ensures that the entire scope of the data is collected with intentional limitations documented
- Data Consistency: The extent to which the healthcare data are reliable and the same across applications
- Data Currency: The extent to which data are up-to-date; a datum value is up-to-date if it is current for a specific point in time, and it is outdated if it was current at a preceding time but incorrect at a later time
- Data Definition: The specific meaning of a healthcare-related data element
- Data Granularity: The level of detail at which the attributes and values of healthcare data are defined
- Data Precision: Data values should be strictly stated to support the purpose
- Data Relevancy: The extent to which healthcare-related data are useful for the purposes for which they were collected
- Data Timeliness: Concept of data quality that involves whether the data is up-to-date and available within a useful time frame; timeliness is determined by manner and context in which the data are being use [1]
