Data-Intensive Science
In this book, a diverse cross-section of application, computer, and data scientists explores the impact of data-intensive science on current research and describes emerging technologies that will enable future scientific breakthroughs. The book identifies best practices used to tackle challenges facing data-intensive science as well as gaps in these approaches. It also focuses on the integration of data-intensive science into standard research practice, explaining how components in the data-intensive science environment need to work together to provide the necessary infrastructure for community-scale scientific collaborations.
mars 2017, env. 448 pages, Chapman & Hall/CRC Computational Science, Anglais
Taylor and Francis
978-1-138-19968-2
Taylor and Francis
978-1-138-19968-2

