Swimming in a Sea of Data: Moving Beyond Product Stewardship Data Management to Data Governance

Christina Inhof, MSPH, DABT Moderator
Newtown, PA 
United States of America
Dr. Tina Armstrong Presenter
Arcadis U.S., Inc.
Hanover, MD 
United States of America
Ms. Merrie Ann-Varughese Co-Presenter
Arcadis U.S., Inc.
Columbus, OH 
United States of America
Wed, 9/11: 8:00 AM  - 9:00 AM 
Standard Session 
Greater Columbus Convention Center 
Room: A 211, A 212 


Product stewardship is a data-intensive undertaking. There are multiple data sources, types and formats of data, repositories and tools, and confidentiality requirements for product stewardship data. Because of the sheer volume and complexity of data needed to perform their function, many product stewards are stuck in data management mode, focusing their efforts on developing and using a suite of standardized tools for collecting, verifying, organizing, and processing data.

But for best-in-class performance, what is really needed is a business-driven program involving cross-functional processes for mining and maximizing the value of product data while minimizing the risks associated with sub-standard data – a data governance program.

In this presentation, we will explore the value of data as an asset, the competitive benefits of a successful data governance program, the key elements of data governance, and the role of data quality standards in a data governance program. Session attendees will learn the essential elements of product stewardship data governance and key data quality components, and explore data governance best practices and lessons learned through a case study regarding restricted substances management.

Preliminary session outline
I. Brief overview of the value of data as an asset
II. Data management vs. data governance
III. Competitive benefits of successful data governance program
IV. Key elements of data governance
V. Role of data quality standards in a data governance program
VI. Case study: restricted substances data governance
VII. Wrap-up/questions & answers

Learning Objectives

At the end of this session, attendees will be able to:
1. Discuss the difference between data management and data governance in the context of product stewardship
2. List the key elements of a data governance program and describe the competitive advantage/benefits of data governance
3. Apply best practices and lessons learned regarding data governance from a case study on restricted substances to their own product stewardship program


Learning/Experience Level



Product Stewardship Program Management