Now, many organizations need to bolster their storage environment. They need solutions that allow them to ingest a large amount of raw data from instruments, present data for analyses, preserve all data for the long term and ensure that data remains readily accessible by collaborative research teams. These IT solutions should not be overly complicated to manage: scientists should remain focused on their scientific research, not IT.

The rapid growth of unstructured data is being fed by new types of information from new places, leading to the emergence of new workflows. These new high-value workflows are shaping the ability of organizations to deliver better products, support critical missions and boost their bottom line.

From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers. To avoid the data silo trap, we’re reviewing the gamut of best practices to breakdown bottlenecks and enable scientific breakthroughs.