The challenge with data in life sciences today? Managing the sheer volume of it. The first genome took 15 years and 4 billion dollars to sequence. Today’s next-gen sequencers can sequence in days for less than $1,000. More genomes are being sequenced, which means more data is being analyzed—and it all has to be stored somewhere. In fact, Public Library of Science (PLOS) estimates that genomic data could soon surpass YouTube as the biggest generator of data. It’s clear that life sciences teams have their work cut out for them. However, the storage challenge goes beyond managing a flood of data. Teams of scientists often need to work on the same data at the same time, even if collaborators are in a lab half a world away. When these researchers access large genome data sets or high-res medical images, they need fast access. And research takes time—some research studies can last for decades. Data generated during the beginning of the study needs to remain accessible over the lifespan of the entire project. To scientists, it not just data. It’s their life’s work. It’s work that is building a better future.