E-science: Difference between revisions

The educational technology and digital learning wiki
Jump to navigation Jump to search
m (Created page with '== Introduction == {{quotation|Scientific workflows are proving to be the preferred vehicle for computational knowledge extraction and for enabling science at a large scale. Wor…')
 
mNo edit summary
Line 1: Line 1:
== Introduction ==
== Introduction ==


{{quotation|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.}} ([http://www.microsoft.com/mscorp/tc/trident.mspxTrident: Scientific Workflow Workbench for Oceanography], Microsoft, retrieved 10:30, 16 June 2010 (UTC))
{{quotation|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.}} ([http://www.cs.wayne.edu/~shiyong/swf/swf2010.html IEEE 2010 Fourth International Workshop on Scientific Workflows (SWF 2010)], Call for papers, retrieved 10:44, 16 June 2010 (UTC)).
 
{{quotation|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.}} ([http://www.microsoft.com/mscorp/tc/trident.mspxTrident: Scientific Workflow Workbench for Oceanography], Microsoft, retrieved 10:44, 16 June 2010 (UTC))


See also:
See also:
Line 7: Line 9:
* [[myExperiment]]  
* [[myExperiment]]  


== Links and references ==
=== Events ===
* [http://www.cs.wayne.edu/~shiyong/swf/ IEEE International Workshops on Scientific Workflows (SWF)]
=== Collections ===
* [http://www.inderscience.com/browse/index.php?journalID=115&year=2010&vol=5&issue=1 Special Issue on Scientific Workflows], ''International Journal of Business Process Integration and Management (IJBPIM)'', Volume 5 - Issue 1, 2010. {{ar}}
* [http://portal.acm.org/toc.cfm?id=1507767&type=issue&coll=GUIDE&dl=GUIDE&CFID=46063699&CFTOKEN=77435462 Future Generation Computer Systems], Special section on workflow systems and applications in e-Science, Volume 25 , Issue 5 (May, 2009)
=== Articles ===
* Beyond the Data Deluge- (Science, Vol. 323. no. 5919, pp. 1297 – 1298, 2009)


[[Category: workflows]]
[[Category: workflow]]
[[category: e-science]]

Revision as of 11:44, 16 June 2010

Introduction

“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))

See also:

Links and references

Events

Collections

Articles

  • Beyond the Data Deluge- (Science, Vol. 323. no. 5919, pp. 1297 – 1298, 2009)