E-science

The educational technology and digital learning wiki
Jump to navigation Jump to search

Introduction

e-Science or e-Research

See also:

Scientific workflows

“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

Links =

  • 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

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.