While the study startup and conduct stages are generally associated with one clinical trial, oftentimes analysis, reporting, and submission include aggregated data across multiple trials. Although the overall lifecycle of clinical trial is relatively standard, the processes and technologies can vary significantly across different lifecycle stages, as well as organizations. Further, data sources have grown exponentially over recent years, adding significant complexity to the lifecycle and increasing risks to the timeline and budget.