Rule-based curation and preservation of data: A data grid approach using iRODS

TY - JOUR

T1 - Rule-based curation and preservation of data: A data grid approach using iRODS

AU - Hedges, Mark

AU - Blanke, Tobias

AU - Hasan, Adil

PY - 2009/4

Y1 - 2009/4

N2 - Research is generating large quantities of digital material, much of it irreplaceable, and there is a pressing need to maintain long-term access to it. Not only is the quantity of data growing in size, it is becoming Much more diverse and complex, significantly complicating the issues around its curation. Automation Of curation is key if a scalable solution is to be found. We describe an approach to automation in which digital curation policies and strategies are represented as rules, which are implemented in data grids based oil the iRODS middleware. (C) 2008 Elsevier B.V. All rights reserved.

AB - Research is generating large quantities of digital material, much of it irreplaceable, and there is a pressing need to maintain long-term access to it. Not only is the quantity of data growing in size, it is becoming Much more diverse and complex, significantly complicating the issues around its curation. Automation Of curation is key if a scalable solution is to be found. We describe an approach to automation in which digital curation policies and strategies are represented as rules, which are implemented in data grids based oil the iRODS middleware. (C) 2008 Elsevier B.V. All rights reserved.

UR - http://www.scopus.com/inward/record.url?scp=58149215897&partnerID=8YFLogxK

U2 - 10.1016/j.future.2008.10.003

DO - 10.1016/j.future.2008.10.003

M3 - Article

SN - 0167-739X

VL - 25

SP - 446

EP - 452

JO - FUTURE GENERATION COMPUTER SYSTEMS

JF - FUTURE GENERATION COMPUTER SYSTEMS

IS - 4

T2 - 3rd IEEE International Conference on e-Science and Grid Computing

Y2 - 10 December 2007 through 13 December 2007

ER -