Much has been said about big data and its potential to improve business productivity, understand risks, and improve medial diagnoses. But first and foremost, data is about people: how they interact with each other and their environment, their beliefs, the choices they make, and the significance of those choices.
With so much human-focused data available, social scientists have the opportunity to learn much from the big data revolution, but they need the technological infrastructure and resources to work with massive amounts of what is often unstructured and unwieldy data. Gleaning knowledge from data requires powerful computers, flexible and reliable data management platforms, high performance networks for moving and sharing data, and massive amounts of storage.