Edinburgh Research Explorer

Building a scientific data grid with DiGS

Research output: Contribution to journalArticle

Related Edinburgh Organisations

Original languageEnglish
Pages (from-to)2471-81
Number of pages11
JournalPhilosophical Transactions A: Mathematical, Physical and Engineering Sciences
Volume367
Issue number1897
DOIs
Publication statusPublished - Jun 2009

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.

    Research areas

  • scientific data infrastructure, distributed data management, grid, molecular biology, computational particle physics

ID: 1455513