E-science: Difference between revisions

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== Introduction ==
== Introduction ==


'''e-Science''' or '''e-Research'''  
'''e-Science''' or '''e-Research''' denotes data-intensive IT-supported collaborative research. Typically, such eScience projects make use of grid computing technologies to implement [[workflow]]s using [[web service]]s. {{quotation|The changing scale and scope of experimental science - with its need for accommodating the growing numbers of research coalitions with continuously changing partners and access to information - require a new research paradigm: (digitally) enhanced science or e-Science.}} ([http://www.vl-e.nl/main_bottom_about_explanation.htm Virtual Laboratory for e-Science], retrieved 12:15, 16 June 2010 (UTC)).
 
{{quotation|is computationally intensive science that is carried out in highly distributed network environments, or science that uses immense data sets that require grid computing; the term sometimes includes technologies that enable distributed collaboration, such as the Access Grid. The term was created by John Taylor, the Director General of the United Kingdom's Office of Science and Technology in 1999 and was used to describe a large funding initiative starting in November 2000. Examples of the kind of science include social simulations, particle physics, earth sciences and bio-informatics}} ([http://en.wikipedia.org/wiki/E-science E-science], Wikipedia, retrieved 12:15, 16 June 2010 (UTC)).
 
{{quotation|What is meant by e-Science? In the future, e-Science will refer to the large scale science that will increasingly be carried out through distributed global collaborations enabled by the Internet. Typically, a feature of such collaborative scientific enterprises is that they will require access to very large data collections, very large scale computing resources and high performance visualisation back to the individual user scientists.}} ([http://www.nesc.ac.uk/nesc/define.html Defining e-Science], National e-Science Centre, retrieved 12:15, 16 June 2010 (UTC)).
 
e-Science projects usually refers to setups that include the following ingredients
* an environment (e.g. desktop software or a web application) that allows researchers to define a workflow
* an environment (e.g. desktop software or a web application) that allows researchers to execute a workflow (can be the same as above). Execution includes tracking data flow and steps.
* a repository for sharing and reusing workflows made by others


See also:
See also:
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== Scientific workflows ==
== Scientific workflows ==
According to [http://en.wikipedia.org/wiki/Scientific_workflow_system Wikipedia], retrieved 12:15, 16 June 2010 (UTC), {{quotation|A Scientific Workflow Systems is a specialized form of a workflow management system designed specifically to compose and execute a series of computational or data manipulation steps, or a workflow, in a scientific application. [...] The rising interest in scientific workflow systems has coincided with the rising interest in e-Science technologies and applications and also the rise of interest in Grid computing. The vision of e-Science is that of distributed scientists being able to collaborate on conducting large scale scientific experiments and knowledge discovery applications using distributed computing resources, distributed data sets and distributed devices. Scientific workflow systems play an important role in enabling this vision.}}


{{quotation|In e-Science environments, the support for scientific workflows emerges as a key service for managing experiment data and activities, for prototyping computing systems and for orchestrating the runtime system behaviour. Supporting domain specific applications via a common e-Science infrastructure enables knowledge sharing among different applications, and thus can broaden the range of the application and multiply the impact of scientific research.}} (Zhao et al, 2005).
{{quotation|In e-Science environments, the support for scientific workflows emerges as a key service for managing experiment data and activities, for prototyping computing systems and for orchestrating the runtime system behaviour. Supporting domain specific applications via a common e-Science infrastructure enables knowledge sharing among different applications, and thus can broaden the range of the application and multiply the impact of scientific research.}} (Zhao et al, 2005).
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== Tools and standards ==
== Tools and standards ==


* JSR 168/268 for portal integration
* JSR 168/268 for portal integration
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== Links and references ==
== Links and references ==


== Links ===
=== General links ===
 
* [http://en.wikipedia.org/wiki/E-science E-science] (Wikipedia).
* [http://en.wikipedia.org/wiki/Scientific_workflow_system Scientific workflow system] (Wikipedia)
 
=== R&D teams and other actors ===


* [http://www.mygrid.org.uk/ myGrid] home page. The team produces and uses a suite of tools designed to help e-Scientists get on with science and get on with scientists. The tools support the creation of e-laboratories and have been used in various domains. Tools and infrastructure include [[taverna workbench]] and [[myExperiment]].
* [http://www.mygrid.org.uk/ myGrid] home page. The team produces and uses a suite of tools designed to help e-Scientists get on with science and get on with scientists. The tools support the creation of e-laboratories and have been used in various domains. Tools and infrastructure include [[taverna workbench]] and [[myExperiment]].


=== Projects ===
* [http://www.nesc.ac.uk/index.html National e-Science Centre] (UK). This site includes a [http://www.nesc.ac.uk/centres/ list] of all UK e-science centres.
 
* [http://www.vl-e.nl/ Virtual Laboratory for e-Science (vl.e)] (Netherlands, dead project in 2010 ?)
 
=== e-science projects ===


* [[myExperiment]]
* [[myExperiment]]
* [http://www.geog.leeds.ac.uk/projects/neiss/about.php National e-Infrastructure for Social Simulation (NeISS)], funded by JISC as part of its Information Environment Programme.
* [http://www.geog.leeds.ac.uk/projects/neiss/about.php National e-Infrastructure for Social Simulation (NeISS)], is an ''e-Social Science'' project funded by JISC as part of its Information Environment Programme.
* [http://www.microsoft.com/mscorp/tc/trident.mspx Trident: Scientific Workflow Workbench for Oceanography]


=== Events ===
=== Events ===

Revision as of 13:15, 16 June 2010

Draft

Introduction

e-Science or e-Research denotes data-intensive IT-supported collaborative research. Typically, such eScience projects make use of grid computing technologies to implement workflows using web services. “The changing scale and scope of experimental science - with its need for accommodating the growing numbers of research coalitions with continuously changing partners and access to information - require a new research paradigm: (digitally) enhanced science or e-Science.” (Virtual Laboratory for e-Science, retrieved 12:15, 16 June 2010 (UTC)).

“is computationally intensive science that is carried out in highly distributed network environments, or science that uses immense data sets that require grid computing; the term sometimes includes technologies that enable distributed collaboration, such as the Access Grid. The term was created by John Taylor, the Director General of the United Kingdom's Office of Science and Technology in 1999 and was used to describe a large funding initiative starting in November 2000. Examples of the kind of science include social simulations, particle physics, earth sciences and bio-informatics” (E-science, Wikipedia, retrieved 12:15, 16 June 2010 (UTC)).

“What is meant by e-Science? In the future, e-Science will refer to the large scale science that will increasingly be carried out through distributed global collaborations enabled by the Internet. Typically, a feature of such collaborative scientific enterprises is that they will require access to very large data collections, very large scale computing resources and high performance visualisation back to the individual user scientists.” (Defining e-Science, National e-Science Centre, retrieved 12:15, 16 June 2010 (UTC)).

e-Science projects usually refers to setups that include the following ingredients

  • an environment (e.g. desktop software or a web application) that allows researchers to define a workflow
  • an environment (e.g. desktop software or a web application) that allows researchers to execute a workflow (can be the same as above). Execution includes tracking data flow and steps.
  • a repository for sharing and reusing workflows made by others

See also:

Scientific workflows

According to Wikipedia, retrieved 12:15, 16 June 2010 (UTC), “A Scientific Workflow Systems is a specialized form of a workflow management system designed specifically to compose and execute a series of computational or data manipulation steps, or a workflow, in a scientific application. [...] The rising interest in scientific workflow systems has coincided with the rising interest in e-Science technologies and applications and also the rise of interest in Grid computing. The vision of e-Science is that of distributed scientists being able to collaborate on conducting large scale scientific experiments and knowledge discovery applications using distributed computing resources, distributed data sets and distributed devices. Scientific workflow systems play an important role in enabling this vision.”

“In e-Science environments, the support for scientific workflows emerges as a key service for managing experiment data and activities, for prototyping computing systems and for orchestrating the runtime system behaviour. Supporting domain specific applications via a common e-Science infrastructure enables knowledge sharing among different applications, and thus can broaden the range of the application and multiply the impact of scientific research.” (Zhao et al, 2005).

“Scientific workflows have become an increasingly popular paradigm for scientists to formalize and structure complex scientific processes to enable and accelerate many significant scientific discoveries. A scientific workflow is a formal specification of a scientific process, which represents, streamlines, and automates the analytical and computational steps that a scientist needs to go through from dataset selection and integration, computation and analysis, to final data product presentation and visualization. A scientific workflow management system (SWFMS) is a system that supports the specification, modification, execution, failure handling, and monitoring of a scientific workflow using the workflow logic to control the order of executing workflow tasks.” (IEEE 2010 Fourth International Workshop on Scientific Workflows (SWF 2010), Call for papers, retrieved 10:44, 16 June 2010 (UTC)).

“Scientific workflows are proving to be the preferred vehicle for computational knowledge extraction and for enabling science at a large scale. Workflows provide a scientist with a useful and flexible method to author complex data analysis pipelines composed of heterogeneous steps ranging from data capture from sensors or computer simulations to data cleaning, to transport and storage, and provide a foundation upon which results can be analyzed and validated.” (Scientific Workflow Workbench for Oceanography, Microsoft, retrieved 10:44, 16 June 2010 (UTC))

Tools and standards

  • JSR 168/268 for portal integration

Links and references

General links

R&D teams and other actors

  • myGrid home page. The team produces and uses a suite of tools designed to help e-Scientists get on with science and get on with scientists. The tools support the creation of e-laboratories and have been used in various domains. Tools and infrastructure include taverna workbench and myExperiment.

e-science projects

Events

Collections

Articles

  • Beyond the Data Deluge- (Science, Vol. 323. no. 5919, pp. 1297 – 1298, 2009)
  • Zhao, Zhiming; Adam Belloum, Peter Sloot and Bob Hertzberger (2005).

Agent Technology and Generic Workflow Management in an e-Science Environment, in Grid and Cooperative Computing - GCC, Springer, DOI: 10.1007/11590354_61 (Access restricted) - PDF Preprint.