A data-driven urban research environment for Australia

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    Author
    Sinnott, Richard O.; BAYLISS, CHRISTOPHER; GALANG, GERSON; Greenwood, Phillip; KOETSIER, GEORGE; MANNIX, DAMIEN; MORANDINI, LUCA; NINO-RUIZ, MARCOS; Pettit, Chris; TOMKO, MARTIN; ...
    Date
    2012
    Source Title
    8th IEEE International Conference on eScience
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    University of Melbourne Author/s
    Bayliss, Christopher; GALANG, GERSON; Greenwood, Philip; KOETSIER, GEORGE; Mannix, Damien; Morandini, Luca; NINO-RUIZ, MARCOS; Pettit, Christopher; Sarwar, Muhammad; Sinnott, Richard; ...
    Affiliation
    Department of Computing and Information Systems
    Metadata
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    Document Type
    Conference Paper
    Citations
    Sinnott, R. O., Bayliss, C., Galang, G., Greenwood, P., Koetsier, G., Mannix, D. et al. (2012). A data-driven urban research environment for Australia. In 8th IEEE International Conference on eScience, Chicago, Illinois.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/32700
    Description

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    Abstract
    The Australian Urban Research Infrastructure Network (AURIN) project (www.aurin.org.au) is tasked with developing an e-Infrastructure to support urban and built environment research across Australia. As identified in [1], this e-Infrastructure must provide seamless access to highly distributed and heterogeneous data sets from multiple organisations with accompanying analytical and visualization capabilities. The project is tasked with delivering a secure, web-based unifying environment offering a one-stop-shop for Australia-wide urban and built environment research. This paper describes the architectural design and implementation of the AURIN data-driven e-Infrastructure, where data is not just a passive entity that is accessed and used as a consequence of research demand, but is instead, directly shaping the computational access, processing and intelligent utilization possibilities. This is demonstrated in a situational context.
    Keywords
    urban research; e-Social science; data access systems

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