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'''Data verification''' is a process in which different types of data are checked for accuracy and [[data consistency|inconsistencies]] after [[data migration]] is done.<ref>{{Cite web|url=http://www.datacap.com/products/features/verify/|title=What is Enterprise Content Management}}</ref> In some domains it is referred to Source Data Verification (SDV), such as in [[clinical trials]].<ref name="pmid25327707">{{cite journal| author=Andersen JR, Byrjalsen I, Bihlet A, Kalakou F, Hoeck HC, Hansen G | display-authors=etal| title=Impact of source data verification on data quality in clinical trials: an empirical post hoc analysis of three phase 3 randomized clinical trials. | journal=Br J Clin Pharmacol | year= 2015 | volume= 79 | issue= 4 | pages=
Data verification helps to determine whether data was accurately translated when data is [[data transfer|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]].
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