Overview of content related to 'data management'
This page provides an overview of 1 article related to 'e-science'. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.
E-Science (or eScience) 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. Particle physics has a well developed e-Science infrastructure in particular because of its need for adequate computing facilities for the analysis of results and storage of data originating from the CERN Large Hadron Collider, which started taking data in 2009. (Excerpt from Wikipedia article: E-Science)
See our 'e-science' overview for more data and comparisons with other tags. For visualisations of metadata related to timelines, bands of recency, top authors, and and overall distribution of authors using this term, see our 'e-science' usage charts.
Ariadne contributors most frequently referring to 'e-science':