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An interdisciplinary workshop on the theme of Big Data was held Tuesday 3rd and Wednesday 4th of September 2013 in the School of Mathematics and Physics.
The emphasis of the two day workshop was on practical implementation of computational tools that scientists increasingly need to tackle research questions using large and/or high-dimensional datasets. It included talks from national experts from a range of disciplines spanning earth and marine sciences, bioinformatics and astronomy. Following a morning of overview presentations, aimed at pin-pointing common challenges in Big Data visualisation and analyses, there were a series of small-group hands-on sessions covering topics including tools for beginners, informatics, visualisation, data management and manipulation and examples of how to access various online large data collections in marine and earth sciences.
The workshop was funded through the UTAS Group Career Development Program and open to any interested UTAS staff and postgraduate students. Most of the invited talks were recorded through the UTAS MyMedia system and are available here, as are the presentations from the invited speakers in PDF form.
The full program including talk abstracts is available here
There were a total of four different hands-on sessions :
Tools for Beginners & Informatics : How to use freely available command-line tools (e.g. awk, sed, perl etc) to select, extract and merge data from different sources. This session will include examples from astronomy and bioinformatics.
Data Management and Manipulation : Common standards for storage of data and metadata and tools to manipulate data held using these formats. This session will include examples from marine science.
Visualisation & Analytics : Tools for visualising large and/or multidimensional datasets, focusing on 3D medical images and the Houdini engine. How to use Amazon Web Services for analytics, how to roll out instances, or even build your own GPGPU cluster.
Public Large Datasets :There are an increasing number of publicly available large datasets. This session will focus on what is available in Earth Sciences and Remote Sensing.
Authorised by the Head of School, Mathematics & Physics
9 September, 2013
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