Abstract is missing.
- ForewordGordon Bell. [doi]
- Jim Gray on eScience: a transformed scientific methodTony Hey, Stewart Tansley, Kristin M. Tolle. [doi]
- Part 1 - IntroductionDan Fay. 3-4 [doi]
- Gray's laws: database-centric computing in scienceAlexander S. Szalay, José A. Blakeley. 5-11 [doi]
- The emerging science of environmental applicationsJeff Dozier, William B. Gail. 13-19 [doi]
- Redefining ecological science using dataJames R. Hunt, Dennis D. Baldocchi, Catharine van Ingen. 21-26 [doi]
- A 2020 vision for ocean scienceJohn R. Delaney, Roger S. Barga. 27-38 [doi]
- Bringing the night sky closer: discoveries in the data delugeAlyssa Goodman, Curtis Wong. 39-44 [doi]
- Instrumenting the earth: next-generation sensor networks and environmental scienceMichael Lehning, Nicholas Dawes, Mathias Bavay, Marc Parlange, Suman Nath, Feng Zhao. 45-51 [doi]
- Part 2 - IntroductionSimon Mercer. 55-56 [doi]
- The healthcare singularity and the age of semantic medicineMichael Gillam, Craig Feied, Jonathan Handler, Eliza Moody, Ben Shneiderman, Catherine Plaisant, Mark Smith, John Dickason. 57-64 [doi]
- Healthcare delivery in developing countries: challenges and potential solutionsJoel Robertson, Del DeHart, Kristin M. Tolle, David Heckerman. 65-73 [doi]
- Discovering the wiring diagram of the brainJeff W. Lichtman, R. Clay Reid, Hanspeter Pfister, Michael F. Cohen. 75-82 [doi]
- Toward a computational microscope for neurobiologyEric Horvitz, William B. Kristan Jr.. 83-89 [doi]
- A unified modeling approach to data-intensive healthcareIain E. Buchan, John M. Winn, Christopher M. Bishop. 91-97 [doi]
- Visualization in process algebra models of biological systemsLuca Cardelli, Corrado Priami. 99-105 [doi]
- Part 3 - IntroductionDaron Green. 109-110 [doi]
- A new path for science?Mark R. Abbott. 111-116 [doi]
- Beyond the tsunami: developing the infrastructure to deal with life sciences dataChristopher Southan, Graham Cameron. 117-123 [doi]
- Multicore computing and scientific discoveryJames R. Larus, Dennis Gannon. 125-129 [doi]
- Parallelism and the cloudDennis Gannon, Daniel A. Reed. 131-135 [doi]
- The impact of workflow tools on data-centric researchCarole A. Goble, David De Roure. 137-145 [doi]
- Semantic escience: encoding meaning in next-generation digitally enhanced sciencePeter Fox, James A. Hendler. 147-152 [doi]
- Visualization for data-intensive scienceCharles D. Hansen, Chris R. Johnson, Valerio Pascucci, Cláudio T. Silva. 153-163 [doi]
- A platform for all that we know: creating a knowledge-driven research infrastructureSavas Parastatidis. 165-172 [doi]
- Part 4 - IntroductionLee Dirks. 175-176 [doi]
- Jim Gray's fourth paradigm and the construction of the scientific recordClifford A. Lynch. 177-183 [doi]
- Text in a data-centric worldPaul Ginsparg. 185-191 [doi]
- All aboard: toward a machine-friendly scholarly communication systemHerbert Van de Sompel, Carl Lagoze. 193-199 [doi]
- The future of data policyAnne Fitzgerald, Brian Fitzgerald, Kylie Pappalardo. 201-208 [doi]
- I have seen the paradigm shift, and it is usJohn Wilbanks. 209-214 [doi]
- From web 2.0 to the global databaseTimo Hannay. 215-220 [doi]
- The way forwardCraig J. Mundie. 223-226 [doi]
- Conclusions and Next StepsTony Hey, Stewart Tansley, Kristin M. Tolle. 227-230 [doi]