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The big data revolution arguably hit science before it hit other institutions. Powerful scientific instruments and pervasive computing have driven quantum leaps in the amount of data available to scientists, raising new challenges for researchers who have had to develop new methods, tools and institutions for managing and exploring massive datasets. Thankfully, their efforts are surfacing valuable lessons for open data innovators in other fields such as public administration, journalism and health care.