• Mohamad Bydon, Clemens M Schirmer, Eric K Oermann, Ryan S Kitagawa, Nader Pouratian, Jason Davies, Ashwini Sharan, and Lola B Chambless.
• Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA.
• World Neurosurg. 2020 Jan 1; 133: e842-e849.

BackgroundModern science and healthcare generate vast amounts of data, and, coupled with the increasingly inexpensive and accessible computing, a tremendous opportunity exists to use these data to improve care. A better understanding of data science and its relationship to neurosurgical practice will be increasingly important as we transition into this modern "big data" era.MethodsA review of the literature was performed for key articles referencing big data for neurosurgical care or related topics.ResultsIn the present report, we first defined the nature and scope of data science from a technical perspective. We then discussed its relationship to the modern neurosurgical practice, highlighting key references, which might form a useful introductory reading list.ConclusionsNumerous challenges exist going forward; however, organized neurosurgery has an important role in fostering and facilitating these efforts to merge data science with neurosurgical practice.Copyright © 2019 Elsevier Inc. All rights reserved.

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