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Difference between data integrity/accuracy/quality (1 Viewer)
- Thread starter Marina89
- Start date
*First of all accuracy/quality are different things.*
Accuracy of data is the extent to which it is free from errors. For example, a car recorded as stolen is later recovered and returned to the owner.
To determine if the data is accurate a data validation is used to check the entry of data:
e.g. Range check, list check, type check or check digit.
Data Integrity, describes the reliability of the data. Whether it is current and relevant. For example, this why items on the Internet need to be checked against various other data sources/mediums.
Accuracy of data is the extent to which it is free from errors. For example, a car recorded as stolen is later recovered and returned to the owner.
To determine if the data is accurate a data validation is used to check the entry of data:
e.g. Range check, list check, type check or check digit.
Data Integrity, describes the reliability of the data. Whether it is current and relevant. For example, this why items on the Internet need to be checked against various other data sources/mediums.
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bailey27
New Member
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- Oct 16, 2008
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- HSC
- 2009
Actually, data accuracy and data quality are separate things.
Data accuracy=data integrity
Data integrity is about the accuracy of the data. Data quality takes this further, concerning how reliable and effective the data is to the purpose it should be fulfilling.
E.g. Even if survey responses have been entered accurately into the system, the quality of the data will be poor if the respondents didn’t answer honestly of as intended. Therefore, the resulting information will be unreliable and ineffective.
Data accuracy=data integrity
Data integrity is about the accuracy of the data. Data quality takes this further, concerning how reliable and effective the data is to the purpose it should be fulfilling.
E.g. Even if survey responses have been entered accurately into the system, the quality of the data will be poor if the respondents didn’t answer honestly of as intended. Therefore, the resulting information will be unreliable and ineffective.
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