Advancements in technologies that support precision medicine development efforts have led to an exponential increase in the volume, variety, and velocity of data generated across preclinical and clinical settings, including data available in the public domain. Unfortunately, these data sets are collected and generated
from a myriad of sources and typically remain disconnected due to their complexity and disparate nature.
This white paper explores the challenges of organizing these complex data sets and makes recommendations for creating a data ecosystem that can generate actionable insights.