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The fourth paradigm : data-intensive scientific discovery

Autore: Anthony J G Hey
Editore: Redmond, Washington : Microsoft Research, [2009]
Edizione/Formato:   book_printbook : EnglishVedi tutte le edizioni e i formati
Banca dati:WorldCat
Sommario:
"This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science."--Page 4 of cover.
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Informazioni aggiuntive sul formato: Online version:
Fourth paradigm.
Redmond, Wash. : Microsoft Research, ©2009
(OCoLC)456740825
Persona incaricata: Jim Gray; Jim Gray
Tipo materiale: Risorsa internet
Tipo documento: Book, Internet Resource
Tutti gli autori / Collaboratori: Anthony J G Hey
ISBN: 9780982544204 0982544200
Numero OCLC: 472741921
Descrizione: xxxiii, 251 pages : color illustrations ; 25 cm
Contenuti: Foreword / Gordon Bell --
Jim Gray on eScience : a transformed scientific method / edited by Tony Hey, Stewart Tansley, and Kristin Tolle --
Earth and environment. Introduction / Dan Fay --
Gray's laws : database-centric computing in science / Alexander S. Szalay, José A. Blakeley --
The emerging science of environmental applications / Jeff Dozier, William B. Gail --
Redefining ecological science using data / James R. Hunt, Dennis D. Baldocchi, Catharine van Ingen --
A 2020 vision for ocean science / John R. Delaney, Roger S. Barga --
Bringing the night sky closer : discoveries in the data deluge / Alyssa A. Goodman, Curtis G. Wong --
Instrumenting the earth : next-generation sensor networks and environmental science / Michael Lehning [and others] --
Health and wellbeing. Introduction / Simon Mercer --
The healthcare singularity and the age of semantic medicine / Michael Gillam [and others] --
Healthcare delivery in developing countries : challenges and potential solutions / Joel Robertson [and others] --
Discovering the wiring diagram of the brain / Jeff W. Lichtman [and others] --
Toward a computational microscope for neurobiology / Eric Horvitz, William Kristan --
A unified modeling approach to data-intensive healthcare / Iain Buchan, John Winn, Chris Bishop --
Visualization in process algebra models of biological systems / Luca Cardelli, Corrado Priami --
Scientific infrastructure. Introduction / Daron Green --
A new path for science? / Mark R. Abbott --
Beyond the tsunami : developing the infrastructure to deal with life sciences data / Christopher Southan, Graham Cameron --
Multicore computing and scientific discovery / James Larus, Dennis Gannon --
Parallelism and the cloud / Dennis Gannon, Dan Reed --
The impact of workflow tools on data-centric research / Carole Goble, David De Roure --
Semantic eScience : encoding meaning in next-generation digitally enhanced science / Peter Fox, James Hendler --
Visualization for data-intensive science / Charles Hansen [and others] --
A platform for all that we know : creating a knowledge-driven research infrastructure / Savas Parastatidis --
Scholarly communications. Introduction / Lee Dirks --
Jim Gray's fourth paradigm and the construction of the scientific record / Clifford Lynch --
Text in a data-centric world / Paul Ginsparg --
All aboard : toward a machine-friendly scholarly communication system / Herbert Van de Sompel, Carl Lagoze --
The future of data policy / Anne Fitzgerald, Brian Fitzgerald, Kylie Pappalardo --
I have seen the paradigm shift, and it is us / John Wilbanks --
From Web 2.0 to the global database / Timo Hannay --
The way forward / Craig Mundie --
Conclusions / Tony Hey, Stewart Tansley, Kristin Tolle --
Next steps.
Responsabilità: edited by Tony Hey, Stewart Tansley, and Kristin Tolle.

Abstract:

"This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science."--Page 4 of cover.

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