Data verification
Data verification is a process in which different types of data are checked for accuracy and
clinical trials.[2]
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
.
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
References
- ^ "What is Enterprise Content Management".
- PMID 25327707.)
{{cite journal}}: CS1 maint: multiple names: authors list (link
External links
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