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Session 8 Track 1: Establishing Data Quality & Data Governance Frameworks
Session Chair(s)
Kristen Sauter, MBA
Senior Director, Head, Global RIM, Analytics & Digital Innovation
Takeda Pharmaceuticals, United States
As industry is advancing the approaches to regulatory information management and the systems that contain their data, there is a heightened focus on the need for comprehensive data governance frameworks and sustainable data quality programs. This session will address:
- Data Quality: The degree to which data in an organization meets the needs of the users and expectations of consumers is often measured by accuracy, validity, completeness, and consistency. And, defining and implementing a comprehensive approach to data quality is a critical component of a success for any organizations RIM program
- Data Governance: Given the increased complexity of the and demand for transparency, managing registrations and sharing regulatory data is critical and necessitates the need for organizations to establish robust approaches to data governance
Learning Objective : At the conclusion of this session, participants should be able to:
- Design and implement a comprehensive Data Quality approach
- Define an approach to building out a RIMS Data Governance Program
- Understand
Speaker(s)
Data Quality Sustainability - Improving Data Governance
Steve Gens, MS
Gens & Associates Inc., United States
Managing Partner
Implementing a Data Governance Program for Your RIMS
Samuel Thompson
NNIT, United States
Managing Consultant
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