Data-Intensive Science

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DOI: 10.1201/B14935

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摘要: Data-intensive science has the potential to transform scientific research and quickly translate progress into complete solutions, policies, economic success. But this collaborative is still lacking effective access exchange of knowledge among scientists, researchers, policy makers across a range disciplines. Bringing together leaders from multiple disciplines, Data-Intensive Science shows how comprehensive integration various techniques technological advances can effectively harness vast amount data being generated significantly accelerate address some worlds most challenging problems. In book, diverse cross-section application, computer, scientists explores impact data-intensive on current describes emerging technologies that will enable future breakthroughs. The book identifies best practices used tackle challenges facing as well gaps in these approaches. It also focuses standard practice, explaining components environment need work provide necessary infrastructure for community-scale collaborations. Organizing material based high-level, workflow, provides an understanding problems would benefit research, capabilities science, solutions next round advancements.

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