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Scientific Applications

The Scientific Applications Group - March 2009

Scientific Applications Group at a Group Away Day, March 2009
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The Scientific Applications Group (SAG) within in the STFC e-Science Centre has the aim of research and development of tools, methods, standards and applications to support scientific applications within STFC and its users, and within the wider scientific community.

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Located at both Rutherford Appleton and Daresbury Laboratories, the Scientific Applications Group work in projects within four overlapping themes:

Facilities Applications
A key objective of the e-Science centre is to develop and support e-Infrastructure within the STFC large-scale facilities, and also partner facilities elsewhere.  The facilities application theme has a programme of work to develop and bring into production tools and applications for use within STFC facilities.  The current applications include the ICAT data management infrastructure, visualisation and analysis tools for analysing and visualising data generated within facilities, and the eCAT infrastructure for managing, accessing and evaluating laser diagnostic data within CLF.

Informatics
In the Informatics theme, SAG concentrates on a variety of projects which are linked by the common theme of modelling and managing data and information sources so that they can be accessed and searched using common tools and methods, and also maintained in a usable state for the long term.   Current application areas include STFC library systems, environmental data working with the STFC Centre for Environmental Data Archival, medical research data with the MRC, and UK and European sponsored investigations into the long-term management of data.

Distributed Systems 
The distributed systems theme is to investigate tools, protocols, methods and architectures to develop and extend distributed systems technology for use within scientific applications, in particular developments in the Grid and the Web.  SAG is currently working on a number of European sponsored projects with a special emphasis on the management of security and trust within Grid systems, a major issue within scientific collaborations.

Analysis.
Advanced analysis and visualisation of data is a key area to further scientific research, and the analysis theme has the objective of developing advanced analysis and visualisation tools, exploiting e-Science’s Grid and cluster computing resources, and presenting results via the e-Science Visualisation Cluster.

SAG has a variety of internal and external funding sources, including STFC core funding for eScience, STFC departments, STFC Library support,  the European Commission, research council grants and the HE funding councils Joint Information Systems Committee (JISC).  

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