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CDISC standards have been in development for many years. There have been structural changes to the recommended standards going forward from version 2 to 3. It is still an evolving process but it has reached a point of critical mass that organizations are recognizing the benefits of taking the proposed standard data model out of the theoretical and putting it into real life applications. The complexity of clinical data coupled with technologies involved can make implementation of a new standard challenging. This paper will explore the pitfalls and present methodologies and technologies that would make the transformation of nonstandard data into CDISC efficient and accurate.
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