Curation and preservation of research data in an iRODS data grid

Research output: Chapter in Book/Report/Conference proceedingConference paper

5 Citations (Scopus)

Abstract

Academic and other research is producing increasingly large quantities of digital output, much of it irreplaceable, and there is a pressing need to maintain long-term access to this data. Not only is the quantity of data available growing in size, it is also becoming much more diverse and complex, which significantly complicates the issues around its preservation. Data grid middleware has proved effective in managing large quantities of data, but until now has been restricted in the facilities it provides for implementing digital preservation functionality and for managing the associated complex metadata. In this paper we outline an approach to implementing digital curation strategies in data grids based on the iRODS middleware, in particular by exploiting iRODS' Rule Engine, which allows complex processing to be integrated within data grids, and we briefly describe the prototyping that we have undertaken
Original languageEnglish
Title of host publicationThird IEEE International Conference on E-Science and Grid Computing
Place of PublicationLOS ALAMITOS
PublisherIEEE
Pages457 - 464
Number of pages8
ISBN (Print)978-0-7695-3064-2
DOIs
Publication statusPublished - 2007
Event3rd IEEE International Conference on e-Science and Grid Computing - Bangalore, India
Duration: 1 Jan 2007 → …

Conference

Conference3rd IEEE International Conference on e-Science and Grid Computing
Country/TerritoryIndia
CityBangalore
Period1/01/2007 → …

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