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    Distributed Gridded Data Delivery for Marine Research

    21364_Microsoft%20Word%20-%208632_Distributed%20Gridded%20Data%20Delivery%20for%20Marine%20Research.pdf (160.4Kb)
    Access Status
    Open access
    Authors
    King, E
    Mak, P
    Turner, P
    Smith, G
    Suber, K
    Paget, M
    Jackett, C
    Fearns, Peter
    Rohl, Andrew
    Goessmann, Florian
    Majewski, L
    Reddy, S.
    Steinberg, C
    Date
    2008
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    King, E.A. and Mak, P.P.Y. and Turner, P.J. and Smith, G.P. and Suber, K.D. and Paget, M.J. and Jackett, C.J. and Fearns, P. and Rohl, A.L. and Goessmann, F. and Majewski, L. Reddy, S. and Steinberg, C. Distributed Gridded Data Delivery for Marine Research, eResearch Australasia 2008, Sep 28 - Oct 3 2008. Melbourne, Australia: Australian Department of Innovation, Industry, Science and Research.
    Source Title
    Proceedings of eResearch australasia 2008
    Source Conference
    eResearch Australasia 2008
    Additional URLs
    http://espace.library.uq.edu.au/collection/UQ:152010.
    Faculty
    Department of Imaging and Applied Physics
    Division of Science and Engineering
    URI
    http://hdl.handle.net/20.500.11937/4760
    Collection
    • Curtin Research Publications
    Abstract

    A combination of off-the-shelf open-source software and custom-built middleware is used to unite remotely sensed marine data archives operated across Australia by five different agencies and make them accessible via a common interface to a user located anywhere on the internet. The utilisation of existing storage and some state of the art fileservers with a distributed data model, makes the system low-cost, scalable and robust. The creation of a virtual national data set with automatic cataloguing enables the development of advanced data services including aggregation and spatio-temporal time series and sub-setting. Data sets are served through OPeNDAP and automatically harvested for meta-data including temporal and spatial bounds. Spatio-temporal queries made on the catalogues provide information to allow retrieval of subset data, or if many data sets are returned, the aggregation of data matching the query. The software developed to implement the system is built as a set of layers with well defined interfaces, allowing system modularisation and a range of levels of access.

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