Building a scientific data grid with DIGS
Building a scientific data grid with DIGS
We provide an insight into the challenge of building and supporting a scientific data infrastructure with reference to our experience working with scientists from computational particle physics and molecular biology.
We illustrate how, with modern high-performance computing resources, even small scientific groups can generate huge volumes (petabytes) of valuable scientific data and explain how grid technology can be used to manage, publish, share and curate these data. We describe the DiGS software application, which we have developed to meet the needs of smaller communities and we have highlighted the key elements of its functionality.
2471-2481
Beckett, Mark G.
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Allton, Chris R.
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Davies, Christine T. H.
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Davis, Ilan
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Flynn, Jonathan M.
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Grant, Eilidh J.
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Hamilton, Russell S.
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Irving, Alan C.
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Kenway, R. D.
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Ostrowski, R. H.
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Perry, James T.
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Swedlow, Jason R.
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Trew, Arthur
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June 2009
Beckett, Mark G.
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Allton, Chris R.
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Davies, Christine T. H.
29346f7c-d542-49f7-b836-eb9092d431a3
Davis, Ilan
ed0a629d-bc42-4164-9668-d4bf5da599ce
Flynn, Jonathan M.
d8e90963-ba56-415c-bbd4-496b7d91d343
Grant, Eilidh J.
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Hamilton, Russell S.
acaea1bb-cb04-45f0-a440-ed1cf94bab03
Irving, Alan C.
7824aa92-5ef2-4619-aeb5-aa2fa502d277
Kenway, R. D.
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Ostrowski, R. H.
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Perry, James T.
bd74ac77-bfc2-4d5d-9aee-b3b9a26188aa
Swedlow, Jason R.
ea83eb0f-d427-4d8d-8195-2df3deea4820
Trew, Arthur
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Beckett, Mark G., Allton, Chris R., Davies, Christine T. H., Davis, Ilan, Flynn, Jonathan M., Grant, Eilidh J., Hamilton, Russell S., Irving, Alan C., Kenway, R. D., Ostrowski, R. H., Perry, James T., Swedlow, Jason R. and Trew, Arthur
(2009)
Building a scientific data grid with DIGS.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 367 (1897), .
(doi:10.1098/rsta.2009.0050).
Abstract
We provide an insight into the challenge of building and supporting a scientific data infrastructure with reference to our experience working with scientists from computational particle physics and molecular biology.
We illustrate how, with modern high-performance computing resources, even small scientific groups can generate huge volumes (petabytes) of valuable scientific data and explain how grid technology can be used to manage, publish, share and curate these data. We describe the DiGS software application, which we have developed to meet the needs of smaller communities and we have highlighted the key elements of its functionality.
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Published date: June 2009
Identifiers
Local EPrints ID: 144023
URI: http://eprints.soton.ac.uk/id/eprint/144023
ISSN: 1364-503X
PURE UUID: 929b07a7-5f8b-4b37-891f-43de86a201cb
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Date deposited: 14 Apr 2010 12:05
Last modified: 14 Mar 2024 02:36
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Contributors
Author:
Mark G. Beckett
Author:
Chris R. Allton
Author:
Christine T. H. Davies
Author:
Ilan Davis
Author:
Eilidh J. Grant
Author:
Russell S. Hamilton
Author:
Alan C. Irving
Author:
R. D. Kenway
Author:
R. H. Ostrowski
Author:
James T. Perry
Author:
Jason R. Swedlow
Author:
Arthur Trew
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