The Fourth Paradigm: Data-Intensive Scientific Discovery
De Artist
The Fourth Paradigm: Data-Intensive Scientific Discovery est le nom d'un ouvrage collectif édité par Tony Hey, Stewart Tansley, et Kristin Tolle en hommage à Jim Gray.
Cet ouvrage est édité par Microsoft Research. Il est commercialisé sous forme papier et disponible en libre accès sur l'Internet[1]. Il donne une suite aux réflexions de Jim Gray autour du quatrième paradigme de la science.
Sommaire
- 1 Le sommaire
- 1.1 Introductions
- 1.2 Partie 1 : La Terre et l'environnement
- 1.2.1 Introduction
- 1.2.2 Gray’s laws: database-centric computing in science
- 1.2.3 The emerging science of environmental applications
- 1.2.4 Redefining ecological science using data
- 1.2.5 A 2020 vision for ocean science
- 1.2.6 Bringing the night sky closer: discoveries in the data deluge
- 1.2.7 Instrumenting the earth: next-generation sensor networks and environmental science
- 1.3 Partie 2 : Santé et bien-être
- 1.3.1 Introduction
- 1.3.2 The healthcare singularity and the age of semantic medicine
- 1.3.3 Healthcare delivery in developing countries: challenges and potential solutions
- 1.3.4 Discovering the wiring diagram of the brain
- 1.3.5 Toward a computational microscope for neurobiology
- 1.3.6 A unified modeling approach to data-intensive healthcare
- 1.3.7 Visualization in process algebra models of biological systems
- 1.4 Part 3: Scientific Infrastructure
- 1.4.1 Introduction
- 1.4.2 A new path for science?
- 1.4.3 Beyond the tsunami: developing the infrastructure to deal with life sciences data
- 1.4.4 Multicore computing and scientific discovery
- 1.4.5 Parallelism and the cloud
- 1.4.6 The impact of workflow tools on data-centric research
- 1.4.7 Semantic escience: encoding meaning in next-generation digitally enhanced science
- 1.4.8 Visualization for data-intensive science
- 1.4.9 A platform for all that we know: creating a knowledge-driven research infrastructure
- 1.5 Part 4: Scholarly Communication
- 1.5.1 Introduction
- 1.5.2 Jim Gray’s fourth paradigm and the construction of the scientific record
- 1.5.3 Text in a data-centric world
- 1.5.4 All aboard: toward a machine-friendly scholarly communication system
- 1.5.5 The future of data policy
- 1.5.6 I have seen the paradigm shift, and it is us
- 1.5.7 From web 2.0 to the global database
- 1.6 Final Thoughts
- 2 Voir aussi
Le sommaire
Introductions
Avant-propos
- Avant-propos / Foreword / [2]
Commentaire
Cette introduction (5 pages) présente le cadre général de l'ouvrage.
Jim Gray on eScience: a transformed scientific method
- Jim Gray on eScience: a transformed scientific method, [3]
- Cette partie reprend un manuscrit de Jim Gray, utilisé lors de sa dernière communication, le 11 janvier 2007, au Computer Science and Telecommunications Board[2].
- Edition réalisée par Tony Hey[A 1][B 1], Stewart Tansley[A 1] et Kristin Tolle[A 1].
Traduction titre / Commentaire
- propositions pour le titre
- Google : Jim Gray sur eScience: une méthode scientifique transformé
- Jacques Ducloy 27 mai 2011 à 20:36 (UTC) : L'e-Science selon Jim Gray : revisiter les pratiques scientifiques
Partie 1 : La Terre et l'environnement
- Part 1: Earth and Environment
Introduction
- Introduction [4]
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Gray’s laws: database-centric computing in science
- Gray’s laws: database-centric computing in science [5]
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The emerging science of environmental applications
- The emerging science of environmental applications [6]
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Redefining ecological science using data
- Redefining ecological science using data [7]
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A 2020 vision for ocean science
- A 2020 vision for ocean science [8]
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Bringing the night sky closer: discoveries in the data deluge
- Bringing the night sky closer: discoveries in the data deluge [9]
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Instrumenting the earth: next-generation sensor networks and environmental science
- Instrumenting the earth: next-generation sensor networks and environmental science [10]
Commentaire
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Partie 2 : Santé et bien-être
- Part 2: Health and Wellbeing
Introduction
- Introduction [11]
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The healthcare singularity and the age of semantic medicine
- The healthcare singularity and the age of semantic medicine [12]
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Healthcare delivery in developing countries: challenges and potential solutions
- Healthcare delivery in developing countries: challenges and potential solutions [13]
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Discovering the wiring diagram of the brain
- Discovering the wiring diagram of the brain [14]
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Toward a computational microscope for neurobiology
- Toward a computational microscope for neurobiology [15]
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A unified modeling approach to data-intensive healthcare
- A unified modeling approach to data-intensive healthcare [16]
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Visualization in process algebra models of biological systems
- Visualization in process algebra models of biological systems [17]
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Part 3: Scientific Infrastructure
Introduction
- Introduction [18]
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A new path for science?
- A new path for science? [19]
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Beyond the tsunami: developing the infrastructure to deal with life sciences data
- Beyond the tsunami: developing the infrastructure to deal with life sciences data [20]
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Multicore computing and scientific discovery
- Multicore computing and scientific discovery [21]
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Parallelism and the cloud
- Parallelism and the cloud [22]
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The impact of workflow tools on data-centric research
- The impact of workflow tools on data-centric research [23]
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Semantic escience: encoding meaning in next-generation digitally enhanced science
- Semantic escience: encoding meaning in next-generation digitally enhanced science [24]
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Visualization for data-intensive science
- Visualization for data-intensive science [25]
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A platform for all that we know: creating a knowledge-driven research infrastructure
- A platform for all that we know: creating a knowledge-driven research infrastructure [26]
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Part 4: Scholarly Communication
Introduction
- Introduction [27]
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Jim Gray’s fourth paradigm and the construction of the scientific record
- Jim Gray’s fourth paradigm and the construction of the scientific record [28]
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Text in a data-centric world
- Text in a data-centric world [29]
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All aboard: toward a machine-friendly scholarly communication system
- All aboard: toward a machine-friendly scholarly communication system [30]
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The future of data policy
- The future of data policy [31]
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I have seen the paradigm shift, and it is us
- I have seen the paradigm shift, and it is us [32]
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From web 2.0 to the global database
- From web 2.0 to the global database [33]
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Final Thoughts
- The way forward
- Conclusions and Next Steps
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Voir aussi
Affiliations des auteurs
- En tant qu'auteurs dans cet ouvrage
- ↑ 1,00, 1,01, 1,02, 1,03, 1,04, 1,05, 1,06, 1,07, 1,08, 1,09, 1,10, 1,11, 1,12, 1,13, 1,14, 1,15, 1,16, 1,17, 1,18, 1,19, 1,20, 1,21, 1,22, 1,23, 1,24, 1,25, 1,26 et 1,27 Microsoft Research
- ↑ Université Johns-Hopkins
- ↑ 3,0, 3,1, 3,2, 3,3, 3,4, 3,5, 3,6 et 3,7 Microsoft
- ↑ Université de Californie à Santa Barbara
- ↑ 5,0 et 5,1 Université de Californie à Berkeley
- ↑ Université de Washington
- ↑ 7,0, 7,1 et 7,2 Université Harvard
- ↑ 8,0, 8,1 et 8,2 WSL Institute for Snow and Avalanche Research SLF
- ↑ École polytechnique fédérale de Lausanne
- ↑ 10,0, 10,1 et 10,2 Université du Maryland
- ↑ 11,0 et 11,1 Robertson Research Institute [1]
- ↑ Université de Californie à San Diego
- ↑ 13,0 et 13,1 Université de Manchester
- ↑ Université de Trente (Italie)
- ↑ Université d'État de l'Oregon
- ↑ 16,0 et 16,1 EMBL-European Bioinformatics Institute
- ↑ Université de Southampton
- ↑ 18,0 et 18,1 Rensselaer Polytechnic Institute
- ↑ 19,0, 19,1, 19,2 et 19,3 Université d'Utah
- ↑ Coalition for Networked Information
- ↑ 21,0 et 21,1 Université Cornell
- ↑ Laboratoire national de Los Alamos
- ↑ 23,0, 23,1 et 23,2 Université de technologie du Queensland
- ↑ Creative Commons
- ↑ Nature Publishing Group
- Références antérieures significatives
Liens interwikis
Voir cet ouvrage sur les wikis :
- Wicri/Ticri - Version publique de référence
- Artist (privé) - Copie de cette page sur espace privé
Liens externes
- Le site The Fourth Paradigm Home, qui donne accès à la totalité de l'ouvrage.
Notes et références
… davantage au sujet de « The Fourth Paradigm: Data-Intensive Scientific Discovery »
Gordon Bell +, Tony Hey +, Stewart Tansley +, Kristin Tolle +, Dan Fay +, Alexander S. Szalay +, José A. Blakeley +, Jeff Dozier +, William B. Gail +, James R. Hunt +, Dennis D. Baldocchi +, Catharine van Ingen +, John R. Delaney +, Roger S. Barga +, Alyssa A. Goodman +, Curtis G. Wong +, Michael Lehning +, Nicholas Dawes +, Mathias Bavay +, Marc Parlange +, Suman Nath +, Feng Zhao +, Simon Mercer +, Michael Gillam +, Craig Feied +, Jonathan Handler +, Eliza Moody +, Ben Shneiderman +, Catherine Plaisant +, Mark Smith +, John Dickason +, Joel Robertson +, Del DeHart +, David Heckerman +, Jeff W. Lichtman +, R. Clay Reid +, Hanspeter Pfister +, Michael F. Cohen +, Eric Horvitz +, William Kristan +, Iain Buchan +, John Winn +, Chris Bishop +, Luca Cardelli +, Corrado Priami +, Daron Green +, Mark R. Abbott +, Christopher Southan +, Graham Cameron +, James Larus +, Dennis Gannon +, Dan Reed +, Carole Goble +, David De Roure +, Peter Fox +, James Hendler +, Charles Hansen +, Chris R. Johnson +, Valerio Pascucci +, Claudio T. Silva +, Savas Parastatidis +, Lee Dirks +, Clifford Lynch +, Paul Ginsparg +, Herbert Van de Sompel +, Carl Lagoze +, Anne Fitzgerald +, Brian Fitzgerald +, Kylie Pappalardo +, John Wilbanks +, Timo Hannay + et Craig Mundie +