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Intuitive interfaces

Computer interfaces that require little to no effort to learn to use

Data-Intensive Research

Speaker(s): 
Presentation Type: 
talk

Data-intensive refers to huge volumes of data, complex patterns of data integration and analysis and intricate interactions between data and users. Current methods and tools are failing to address data-intensive challenges effectively: they fail for several reasons, all of which are aspects of scalability.

Date and time: 
Tuesday, 23 February, 2010 - 12:20
Location: 
iDEA lab lunch, Informatics Forum, Edinburgh, UK

Screencast: annotating embryo models on-line in a web browser

Screencast of a prototype for the JISC-funded project "Next Generation Embryology" where biologists can annotate 3D objects that represent models of mouse and human embryos with arbitrary bits of information held in a DSpace repository. Here we show what the interface looks like.

Topic of this submission: 

Data-Intensive Research

Speaker(s): 
Presentation Type: 
invited

Science is witnessing a data revolution. Data are now created by faster and cheaper physical technologies, software tools and digital collaborations. Examples of these include satellite networks, simulation models and social network data. To transform these data successfully into information then into knowledge and finally into wisdom, we need new forms of computational thinking. These may be enabled by building "instruments" that make data comprehensible for the "naked mind" in a similar fashion to the way in which telescopes reveal the universe to the naked eye.

Date and time: 
Tuesday, 9 February, 2010 - 09:30
Location: 
Seminar Room, Biomedical Systems Analysis, Human Genetics Unit, Medical Research Council, Edinburgh, UK

Data-Intensive Research at the UK National e-Science Centre

Presentation Type: 
talk

Presenting the research of the Data-Intensive Research Group as part of a visit of Professor Robin Stanton (Pro Vice-Chancellor) and Professor Lindsay Botten (Director, National Computational Infrastructure), Australian National University, to the UK National e-Science Centre.

Date and time: 
Tuesday, 26 January, 2010 - 14:20
Location: 
Turing Room, Informatics Forum, Edinburgh, UK

A 2-minute video introduction to Rapid

A video where the Rapid-team introduces their technology to develop web portals for computational science.

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Screencast: Rapid Portal for the Open Microscopy Environment

We show a quick prototype where Rapid is integrated with the Open Microscopy Environment developed in Dundee (http://www.openmicroscopy.org/) to allow analysis and visualisation of microscopy images on remote compute resources.

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Screencast: Installation of Rapid using LifeRay as the portal framework

We show a 2-minute screencast of the installation of Rapid that includes LifeRay as the portal. Shows how to get the basic "Hello World!" portlet gets installed into the portal. You need Flash installed in the browser to watch the video below. Click here for a large version

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e-Science Research at Edinburgh and Glasgow

Presentation Type: 
talk

This presentation's focus is on the computer science research performed at the National e-Science Centre as part of the University of Edinburg and the University of Glasgow. Another submission reports on the community support offered by the National e-Science Centre.

Date and time: 
Monday, 7 December, 2009 - 09:30
Location: 
UK e-Science All Hands Meeting 2009, Oxford, UK
Projects: 

RapidSeis: Rapid Portals for Seismological Waveform Data

Final project report for JISC, with links to all individually created deliverables and progress posts. RapidSeis has produced a scientific gateway via a web portal that allows seismologist to pick up data from Orfeus—the central repository for earthquake data in Europe—and then run several analyses on these data. Advanced users can also create new analyses and share these with all the other users.

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Screencast: Rapid Portals for Seismological Waveform Data

Welcome to the RapidSeis demo. This portal was created using Rapid and enables the use of Seismic Data eXplorer within the web portal of the Network of Research Infrastructures for European Seismology.

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Rapid chemistry portals through engaging researchers

Presentation Type: 
talk

In this study, we apply a methodology for rapid development of portlets for scientific computing to the domain of computational chemistry. We report results in terms of the portals delivered, the changes made to our methodology and the experience gained in terms of interaction with domain-specialists.

Date and time: 
Thursday, 10 December, 2009 - 11:00
Location: 
IEEE e-Science 2009, Oxford, UK
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Projects: 

RapidSeis Workshop

At the meeting we will present the result of the RapidSeis project, a collaboration between ORFEUS, the UK National e-Science Centre and the University of Liverpool. Over the past six months, this project has created a system that facilitates running waveform analysis on data from ORFEUS where the computation is performed on remote compute resources provided by the University of Liverpool.

Location: 
Department of Earth & Ocean Sciences, University of Liverpool, UK
Dates: 
12 Nov 2009 to 13 Nov 2009
Projects: 

High performance web-based genetic analyses for the biosciences

In order to maintain and integrate GridQTL with other resources we are requesting two full-time posts, one to be based at NeSC and the other at IEB. The principal tasks for these posts are outlined under the management structure. GridQTL, our existing project upon which GridQTL+ is based, is a collaborative project across three sites. The different expertise from each of these groups has been essential to the development of GridQTL and we wish to continue with this successful arrangement.

Acronym: 
GridQTL+
Value: 
£720k
Dates: 
Tue, 06/01/2010 to Fri, 05/31/2013
Project members: 
Projects: 

Screencast: Rapid Portal for Brain Imaging

We show a screencast of an example portal created using Rapid, which enables perfusion imaging in the context of brain imaging for stroke. To see this demo you require Flash to be installed. Perfusion imaging allows locating which parts of the brain are affected by a stroke in terms of oxygen deprivation.

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