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ORCIDThe Fourth Paradigm: Data-Intensive Scientific Discovery 2009
- Tony Hey, Stewart Tansley, Kristin M. Tolle:
The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research 2009, ISBN 978-0982544204
Introductions
- Gordon Bell:
Foreword. - Tony Hey, Stewart Tansley, Kristin M. Tolle:
Jim Gray on eScience: a transformed scientific method.
Part 1: Earth and Environment
- Dan Fay:
Part 1 - Introduction. 3-4 - Alexander S. Szalay, José A. Blakeley:
Gray's laws: database-centric computing in science. 5-11 - Jeff Dozier, William B. Gail:
The emerging science of environmental applications. 13-19 - James R. Hunt, Dennis D. Baldocchi, Catharine van Ingen:
Redefining ecological science using data. 21-26 - John R. Delaney, Roger S. Barga:
A 2020 vision for ocean science. 27-38 - Alyssa Goodman, Curtis Wong:
Bringing the night sky closer: discoveries in the data deluge. 39-44 - Michael Lehning, Nicholas Dawes, Mathias Bavay, Marc Parlange, Suman Nath, Feng Zhao:
Instrumenting the earth: next-generation sensor networks and environmental science. 45-51
Part 2: Health and Wellbeing
- Simon Mercer:
Part 2 - Introduction. 55-56 - Michael Gillam, Craig Feied, Jonathan A. Handler, Eliza Moody, Ben Shneiderman, Catherine Plaisant, Mark S. Smith, John Dickason:
The healthcare singularity and the age of semantic medicine. 57-64 - Joel Robertson, Del DeHart, Kristin M. Tolle, David Heckerman:
Healthcare delivery in developing countries: challenges and potential solutions. 65-73 - Jeff W. Lichtman, R. Clay Reid, Hanspeter Pfister, Michael F. Cohen:
Discovering the wiring diagram of the brain. 75-82 - Eric Horvitz, William B. Kristan Jr.:
Toward a computational microscope for neurobiology. 83-89 - Iain E. Buchan, John M. Winn, Christopher M. Bishop:
A unified modeling approach to data-intensive healthcare. 91-97 - Luca Cardelli, Corrado Priami:
Visualization in process algebra models of biological systems. 99-105
Part 3: Scientific Infrastructure
- Daron Green:
Part 3 - Introduction. 109-110 - Mark R. Abbott:
A new path for science? 111-116 - Christopher Southan, Graham Cameron:
Beyond the tsunami: developing the infrastructure to deal with life sciences data. 117-123 - James R. Larus, Dennis Gannon:
Multicore computing and scientific discovery. 125-129 - Dennis Gannon, Daniel A. Reed:
Parallelism and the cloud. 131-135 - Carole A. Goble, David De Roure:
The impact of workflow tools on data-centric research. 137-145 - Peter Fox, James A. Hendler:
Semantic escience: encoding meaning in next-generation digitally enhanced science. 147-152 - Charles D. Hansen, Chris R. Johnson, Valerio Pascucci, Cláudio T. Silva:
Visualization for data-intensive science. 153-163 - Savas Parastatidis:
A platform for all that we know: creating a knowledge-driven research infrastructure. 165-172
Part 4: Scholarly Communication
- Lee Dirks:
Part 4 - Introduction. 175-176 - Clifford A. Lynch:
Jim Gray's fourth paradigm and the construction of the scientific record. 177-183 - Paul Ginsparg:
Text in a data-centric world. 185-191 - Herbert Van de Sompel, Carl Lagoze:
All aboard: toward a machine-friendly scholarly communication system. 193-199 - Anne Fitzgerald, Brian Fitzgerald, Kylie Pappalardo:
The future of data policy. 201-208 - John Wilbanks:
I have seen the paradigm shift, and it is us. 209-214 - Timo Hannay:
From web 2.0 to the global database. 215-220
Final Thoughts
- Craig J. Mundie:
The way forward. 223-226 - Tony Hey, Stewart Tansley, Kristin M. Tolle:
Conclusions and Next Steps. 227-230
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