A Case for Data Commons: Toward Data Science as a Service
Computing in Science & Engineering(2016)
Abstract
Data commons collocate data, storage, and computing infrastructure with core services and commonly used tools and applications for managing, analyzing, and sharing data to create an interoperable resource for the research community. An architecture for data commons is described, as well as some lessons learned from operating several large-scale data commons.
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Key words
Data science,Data analysis,Knowledge discovery,Data mining,Large-scale systems,Software as a service,Scientific computing
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