Addressing the Growing Storage Burden of Life Sciences Data

The use of big data in healthcare and life sciences is contributing to a growing data storage demand that is outstrips the supply of storage media. Without addressing this pressing issue, the depletion of data storage resources could slow research and healthcare IT development. In a recent Pharmaceutical Online article, Thomas Armel, PhD, of EY-Parthenon discusses this problem and ways to address it moving forward.

According to Armel, “Several factors contribute to the growing gap between what companies need to store and what can be stored economically. Data archive sizes are increasing and being stored for longer time periods, from large scientific projects such as UKBiobank and the Million Veteran Program to medical imaging and longitudinal patient data collection. Additionally, whole-genome sequencing data coupled with AI/ML-powered association studies and biobank cohorts has enabled quantification of the role genetic variation plays and has given rise to the clinical implementation of genomic screening.”

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(Source: Pharmaceutical Online, December 9^th, 2022)