Data verification is a process in which different types of data are checked for accuracy and
inconsistencies after
data migration
Data migration is the process of selecting, preparing, extracting, and transforming data and permanently transferring it from one computer storage system to another. Additionally, the validation of migrated data for completeness and the decommis ...
is done.
In some domains it is referred to Source Data Verification (SDV), such as in
clinical trials.
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Data verification helps to determine whether data was accurately translated when data is
transferred from one source to another, is complete, and supports processes in the new system. During verification, there may be a need for a parallel run of both systems to identify areas of disparity and forestall erroneous
data loss Data loss is an error condition in information systems in which information is destroyed by failures (like failed spindle motors or head crashes on hard drives) or neglect (like mishandling, careless handling or storage under unsuitable conditions) ...
.
Methods for data verification include
double data entry,
proofreading and automated verification of data. Proofreading data involves someone checking the data entered against the original document. This is also time consuming and costly. Automated verification of data can be achieved using one way hashes locally or through use of a SaaS based service such as Q by SoLVBL to provide immutable seals to allow verification of the original data.
See also
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Data validation
In computer science, data validation is the process of ensuring data has undergone data cleansing to ensure they have data quality, that is, that they are both correct and useful. It uses routines, often called "validation rules", "validation cons ...
*
Verification and validation
Verification and validation (also abbreviated as V&V) are independent procedures that are used together for checking that a product, service, or system meets requirements and specifications and that it fulfills its intended purpose. These are ...
References
External links
PC Guide article
Data management
Data quality
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