One of the fastest-growing datasets in the world is made up of our human genetic data. By 2025, we may be out of data storage space for human genomes, according to estimates by the University of Illinois at Urbana-Champaign. As precision medicine, CRISPR, and gene therapy technologies continue to advance and improve, our storage needs will explode, along with the computing power and requirements for acquiring, distributing, analyzing, encrypting, and safeguarding our genomics data. As technology becomes increasingly intertwined with biology, we’re realizing that we didn’t plan ahead for adequate storage capacity, and that we didn’t create sufficient technology workflows for properly storing all that data. Australia’s Garvan Institute of Medical Research is looking into different processes and workflow to reduce the genomic data footprint going forward.