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.
