Unlocking F.A.I.R. Insights: A New Era of Clinical Data Management

Many clinical development organizations struggle to provide rapid insights from clinical trial data because they lack access and visibility to time-relevant data across all their study data in one centralized location. The challenge is that clinical data standards focus on the end-state (i.e., regulatory submission) and not active study analysis. The industry has acknowledged that we can’t wait for a study to end for analysis to begin yet sponsors struggle with the ability analyze active or in-stream data. We have found that our Research colleagues are successful in analyzing their broad data by employing technologies that align data to a format that is Findable, Accessible, Interoperable, and Reusable (also known as FAIR Data Principles). In this showcase we will overview FAIR and how our SaaS Clinical Data Science Platform employs FAIR to provide deeper insights for faster decision-making. You will learn how to eliminate the barriers to rapid safety, efficacy, and operational insights. Spend less time preparing data for analysis and more time making decisions with a centralized SaaS data and analytics platform.