Discovery - University of Dundee - Online Publications

Library & Learning Centre

Building a scientific data grid with DIGS

Building a scientific data grid with DIGS

Research output: Contribution to journalArticle

View graph of relations

Authors

  • Mark G. Beckett
  • Chris R. Allton
  • Christine T. H. Davies
  • Ilan Davis
  • Jonathan M. Flynn
  • Eilidh J. Grant
  • Russell S. Hamilton
  • Alan C. Irving
  • R. D. Kenway
  • Radoslaw H. Ostrowski
  • James T. Perry
  • Jason R. Swedlow
  • Arthur Trew

Research units

Info

Original languageEnglish
Pages2471-2481
Number of pages11
JournalPhilosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences
Journal publication date28 Jun 2009
Journal number1897
Volume367
DOIs
StatePublished

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.

Documents

Library & Learning Centre

Contact | Accessibility | Policy