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Enabled by KAREN
Enabled by KAREN
What is BeSTGRID?

A recorded 15min presentation by Paul Bonnington at the KAREN “Building Communities for Collaboration” Conference early July about our BeSTGRID project. It highlights some of our services and demonstrates how one could engage with the computational GRID.


BeSTGRID is a Tertiary Education Commission Innovation and Development Fund Project 2006-2008, focused on how to make eResearch (What is eResearch?) work, to create a fully-functional eResearch ecosystem for New Zealand. BeSTGRID will deliver mechanisms, methods and tools that facilitate collaboration on shared information, sharing of computational resources and online visualization of instruments and experiments.

Services News and Events

EVO is a collaboration system that supports point-to-point and multipoint collaborative sessions.

EVO users can communicate using audio, video and instant messaging, exchange files and share desktop applications.

.... more on EVO



BeSTGRID's Sakai Virtual Research Enviroment (VRE) facilitates collaboration and communication for specialist research communities within New Zealand.



The BeSTGRID Data GRID: Over 100 Terabytes of Data Storage for Research Data distributed between Auckland, Canterbury and Massey. A data grid is a grid computing system that deals with data—the controlled sharing and management of large amounts of distributed data. These are often, but not always, combined with computational grid computing systems.

Many scientific and engineering applications require access to large amounts of distributed data (terabytes or petabytes). The size and number of these data collections has been growing rapidly in recent years and will continue to grow as new experiments and sensors come on-line, the costs of computation and data storage decrease and performances increase, and new computational science applications are developed.



Computational Platform

Howto : Bioinformatics researchers: Getting started with the New Zealand BioPortal






Progress

For further information and status on BeSTGRID's activities review each theme above.

Media and Presentations

Upcoming Events

20 March 2008
March 2008 Steering Committee meeting being held via EVO.

Recent News and Events

News

25 February
AVCC wiki joins BeSTGRID Federation. This great news (copied below) posted this morning to the AVCC list by Nathan Gardener at the HitLab. The addition of this new AVCC wiki service to the BeSTGRID Federation shows the desire by the community to move towards this federated model. To achieve this integration, Vladimir Mencl at Canterbury University built on the initial work carried out at Auckland on the BeSTGRID wiki, improving and further maturing support for MediaWiki based service providers. Congratulations Nathan and Vladimir!
24 February
Mike Culver from Amazon visited New Zealand industry and research institutions to discuss Amazon Web Services. Mike's NZ trip report details some of the issues he made note of. Notes on Amazon services for e-Research.
22 February
BestGRID delivers 'cloud' storage for large datasets: Tertiary Education Commission project delivers community computing.
2007
19 December
Bioinformatics software first for BeSTGRID
Biomatters Limited and New Zealand’s Bioinformatics Institute announce the first release of new Geneious software for grid computing on BeSTGRID, the Broadband enabled Science and Technology Grid running on KAREN, the Kiwi Advanced Research and Education Network that provides high-speed, high-capacity internet to New Zealand academics, researchers and educators.
Read the complete article on the REANNZ website
5 December
BeSTGRID releases second Identity Provider at the University of Canterbury.
19 October 2007
Social Sciences Data Service web site released: http://www.nzssds.org.nz/
5 October 2007
BeSTGRID releases first application - MediaWiki - integrated with the BeSTGRID Identity Provider and the University of Auckland Identity Provider.
7 August 2007
KAREN 2007 Workshop Videos are available here.


Recent News and Events...

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Partners


Links


Consult the User's Guide for information on using the wiki software.