Faculty: Dr. Ronald D. Snee
Data are central to the development, manufacture and marketing of pharmaceuticals of all types. The renewed interest in data integrity raises questions regarding what is data integrity and how to assess it. Lack of data integrity comes in two forms: purposeful manipulation of the data to deceive and the inadvertent problems that occur in the production and analysis of data. Humans, equipment or both can be the source of the problem.
This session discusses both types of data integrity sources and introduces the assessment of “data pedigree” as a concept that puts focus on the types of data integrity issues and analytical and statistical methods for detecting data problems. Pharma and biotech case studies are used throughout the presentation to illustrate how the various approaches together.
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Who Will Benefit: