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