A (R)evolutionary Path For Data Managers: The Guide To Driving Data Quality Across The "5 Vs" Of Clinical Data

The complexity of clinical trial data management has surged over the past decade. Data managers are navigating unprecedented challenges in capturing, processing, and analyzing explosive volumes of data from an increasing variety of sources. The new data landscape directly impacts their ability to ensure data quality, implement procedures to validate data integrity, manage resources efficiently, and control costs, especially in large-scale complex trials.

To stay ahead of the disruptive clinical trial data evolution, Data managers have an opportunity to adapt and adopt new approaches to managing and reviewing data efficiently. Following up on “The 5Vs of Clinical Data” topic brief published by the Society for Clinical Data Management (SCDM) in March 2021, this eBook outlines how technology continues to inform and optimize clinical data strategies and management processes to effectively address the “5Vs”—Volume, Variety, Velocity, Veracity, and Value—of data that are reshaping clinical data management.