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.
Beckett
Mark G
MG
School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3JZ, UK. george.beckett@ed.ac.uk
Allton
Chris R
CR
Davies
Christine T H
CT
Davis
Ilan
I
Flynn
Jonathan M
JM
Grant
Eilidh J
EJ
Hamilton
Russell S
RS
Irving
Alan C
AC
Kenway
R D
RD
Ostrowski
Radoslaw H
RH
Perry
James T
JT
Swedlow
Jason R
JR
Trew
Arthur
A
D003195:Computer Communication Networks; D016494:Computer Security; D003199:Computer Systems; D016247:Information Storage and Retrieval; D008967:Molecular Biology / Q000706:statistics & numerical data; D010825:Physics / Q000706:statistics & numerical data; D006113:United Kingdom; D014584:User-Computer Interface