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Webinar on How to Detect Lack of Data Integrity

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Website https://compliancetrainings.com/SiteEngine/ProductDetailView.aspx?id=FDB2031 | Edit Freely

Category Food, Drugs & Biologics

Deadline: July 27, 2106 | Date: July 27, 2106

Venue/Country: Online, Canada

Updated: 2016-06-30 18:50:11 (GMT+9)

Call For Papers - CFP

Description :

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.

Areas Covered in the Session :

What is data integrity; what does it look like

Case studies illustrating types and sources of data integrity issues

Procedures for assessing data pedigree, integrity and quality

Computer, analytical and statistical methods for evaluating data integrity and quality

Limitations of observational data

Guiding principles, tips and traps for the effective data integrity assessment

Who Will Benefit:

Senior management

Quality Assurance Team Members

Quality Control Team Members

Compliance Auditors

Process Development Team Members

Supply Chain and Logistics Managers

Regulatory Affairs Team Members

Engineering Staff

IT Management and Staff working in regulated areas


Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.