Data security is defined by the processes and mechanisms in place that prevent data misuse and identify threat risks. However, many biopharmaceutical research data sources, from IP to genomic to mobile, require different levels of security. The reality
is that it matters not where your data exist, but the ways in which data are accessed. Are you doing enough for information security? How do you demonstrate that you are compliant? The Data Security and Compliance track presents in-depth
case studies from leading life science organizations who are implementing solutions to address these data security and compliance problems and challenges. Presentations will also address security services from private to cloud-based systems for academic,
government, clinical, biomedical, and pharmaceutical networks. Learn how to adopt a data-centric approach to help you reduce costs, mitigate risk, and meet compliance. Data standards for compliance and security need to deal with global communities,
and where guidelines and requirements may differ, e.g., GDPR. How do you incorporate this especially when considering the use of real-world data?
FEATURED PRESENTATION: Data Lakes, Clouds, and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data
Robert Grossman, PhD, Frederick H. Rawson Distinguished Service Professor in Medicine and Computer Science; Director, The Jim and Karen Frank Director of the Center for Translational Data Science, University of Chicago
Defending against the Persistence of Inevitability
Brian Bissett, MBA, MSEE, FAC P/PM, IT Specialist, Hardware Engineering, US Government
Data Security and Privacy Are Keys to Success for Biotech Companies in the Future
Jyotin Gambhir, MBA, CISM, Founder, SecureFLO
KEYNOTE SESSION: Trends from the Trenches 2020
Chris Dagdigian, Co-Founder and Senior Director, Infrastructure, BioTeam, Inc.
Additional Speakers to be Announced