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Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 1
Semi-automated preservation and archival of scientific data using semantic grid services
Cardiff, Wales, UK
May 09-May 12
ISBN: 0-7803-9074-1
ASCII Text
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J. Hunter, S. Choudhury, "Semi-automated preservation and archival of scientific data using semantic grid services," Cluster Computing and the Grid, IEEE International Symposium on, vol. 1, pp. 160-167, Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 1, 2005.
 
 
BibTex
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@article{ 10.1109/CCGRID.2005.1558549,
author = {J. Hunter and S. Choudhury},
title = {Semi-automated preservation and archival of scientific data using semantic grid services},
journal ={Cluster Computing and the Grid, IEEE International Symposium on},
volume = {1},
year = {2005},
isbn = {0-7803-9074-1},
pages = {160-167},
doi = {http://doi.ieeecomputersociety.org/10.1109/CCGRID.2005.1558549},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Cluster Computing and the Grid, IEEE International Symposium on
TI - Semi-automated preservation and archival of scientific data using semantic grid services
SN - 0-7803-9074-1
SP160
EP167
A1 - J. Hunter,
A1 - S. Choudhury,
PY - 2005
VL - 1
JA - Cluster Computing and the Grid, IEEE International Symposium on
ER -
 
J. Hunter, DSTC, Queensland Univ., Brisbane, Qld., Australia
S. Choudhury, DSTC, Queensland Univ., Brisbane, Qld., Australia
Addressing the long term preservation issues associated with scientific data is a complex challenge compounded by: the scale and multidisciplinary nature of the problem the wide range of formats and data types involved and the often proprietary and transitory nature of the hardware and software used to generate the data. In this paper, we present the PANIC system - an integrated, extensible architecture based on preservation metadata, automatic notification services, software and format registries and semantic grid services - that we believe, offers a sustainable, dynamic approach to the long term preservation of large collections of heterogeneous scientific data.
Citation:
J. Hunter, S. Choudhury, "Semi-automated preservation and archival of scientific data using semantic grid services," ccgrid, vol. 1, pp.160-167, Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 1, 2005
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