Overview of content related to 'identifier'
This page provides an overview of 1 article related to 'data curation for 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.
The DTI and the Research Councils are committing £118M to a government-industry programme on e-Science. The reason for this investment is that GRID technology is seen as the natural successor to the world wide web and the UK wants to take a leading role in order to develop solutions for its scientists and developing opportunities for its industry. The world wide web has revolutionised the way companies do business and fundamentally altered people's personal lives but it can no longer cope with the demands being placed on it by science. The world wide web allows very easy access to information, Grid allows that same easy access to computing power, data processing and communication of the results. The opportunities are immense, it will allow the efficient manipulation of vast amounts of information such as that contained in the human genome or the results from experiments in CERN's new Large Hadron Collider. It will also allow the ability to mine data again and again by comparing existing data sets collected for one purpose with new and previously unrelated information, so generating new knowledge. This consultancy will establish the current provision and future requirements for curation of primary research data being generated within e-science in the UK. This will include the e-science core programme but is anticipated to extend beyond this to other e-science research and primary research data. A consultancy report will provide a synthesis of findings and make recommendations for future action. The consultancy will support aims to manage JISC involvement in e-Science and the Research Grid, and to work in partnership to support the research community through activities such as its digital preservation programme. Project start date: 2003-02-01. Project end date: 2004-02-02. (Excerpt from this source)
See our 'data curation for 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 'data curation for e-science' usage charts.
Ariadne contributors most frequently referring to 'data curation for e-science':