The Fourth Paradigm Data-Intensive Scientific Discovery

Description

Redmond, Wa: Microsoft Research, 2009. — 287 p.Earth and Environment Introduction. Gray's Laws : Database - centric computing in science. The emerging science of environmental applications. Redefining ecological science using data. A 2020 vision for ocean science. Bringing the night sky closer : discoveries in the data deluge. Instrumenting the Earth : next-generation sensor networks and environmental science.Health and wellbeing Introduction. The healthcare singularity and the age of semantic medicine. Healthcare delivery in developing countries : challenges and potential solutions. Discovering the wiring diagram of the brain. Toward a computational microscope for neurobiology. A unified modeling approach to data - intensive healthcare. Visualization in process algebra models of biological systems.Scientific infrastructure Introduction. A new path for science? Beyond the tsunami : developing the infrastructure to deal with life sciences data. Multicore computing and scientific discovery. Parallelism and the cloud. The impact of workflow tools on data - centric research. Semantic eScience: encoding meaning in next - generation digitally enhanced science. Visualization for data - intensive science. A platform for allthat we know : creating a knowledge - driven research infrastructure.Scholarly communication Introduction. Jim Gray's fourth paradigm and the construction of the scientific record. Text in a data-centric world. All aboard : toward a machine - friendly scholarly communication system. The future of data policy. I have seen the paradigm shift, and it is us. From WEB 2.0 to the global database.