Building a scientific data grid with DIGS. / 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, Radoslaw H.; Perry, James T.; Swedlow, Jason R.; Trew, Arthur.
In: Philosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences, Vol. 367, No. 1897, 28.06.2009, p. 2471-2481.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Building a scientific data grid with DIGS
A1 - Beckett,Mark G.
A1 - Allton,Chris R.
A1 - Davies,Christine T. H.
A1 - Davis,Ilan
A1 - Flynn,Jonathan M.
A1 - Grant,Eilidh J.
A1 - Hamilton,Russell S.
A1 - Irving,Alan C.
A1 - Kenway,R. D.
A1 - Ostrowski,Radoslaw H.
A1 - Perry,James T.
A1 - Swedlow,Jason R.
A1 - Trew,Arthur
AU - Beckett,Mark G.
AU - Allton,Chris R.
AU - Davies,Christine T. H.
AU - Davis,Ilan
AU - Flynn,Jonathan M.
AU - Grant,Eilidh J.
AU - Hamilton,Russell S.
AU - Irving,Alan C.
AU - Kenway,R. D.
AU - Ostrowski,Radoslaw H.
AU - Perry,James T.
AU - Swedlow,Jason R.
AU - Trew,Arthur
PY - 2009/6/28
Y1 - 2009/6/28
N2 - <p>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.</p>
AB - <p>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.</p>
KW - scientific data infrastructure
KW - distributed data management
KW - grid
KW - molecular biology
KW - computational particle physics
U2 - 10.1098/rsta.2009.0050
DO - 10.1098/rsta.2009.0050
M1 - Article
JO - Philosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences
JF - Philosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences
SN - 1364-503X
IS - 1897
VL - 367
SP - 2471
EP - 2481
ER -