Publication: Forbes Technology Council
Abstract
This article discusses the growing volume of raw data collected during clinical research, and how transforming the mountain of data into clinical and safety insights is an industry-wide challenge. As the volume and variety of research data continues to grow, it is increasingly difficult to transform it into knowledge for timely decision-making because it is often produced from different source systems that do not share a common standard. Unifying and cleaning data to enable comprehensive analyses is a problem that often slows down the R&D engine. Turning the waterfall of data into one coherent stream is a fundamental and necessary step researchers must take before they analyze it for key decisions, including continuing programs or pivoting resources and submitting it to regulators for review and approvals.
Author: Martin Snyder, President, Certara Data Science Software.
Published: 2025 年 6 月 25 日
Learn more about Certara’s Biometrics and Data Science Services.
将数据标准化与验证作为企业文化的智力资产。Certara 服务助您的团队践行最佳数据收集实践。
使数据集符合 CDISC 标准,最大限度减少延误
整合非临床与临床数据,确保申报无误
构建稳健的自动化工作流程,持续提升效率
