Scientific Data Management: A Life Cycle View

Scientific Data Management: A Life Cycle View

Abstract

This work focuses its effort on large-scale dataspaces and workflow management, two complementary technologies, which, if applied in conjunction, can provide a highly efficient and powerful scientific data management solution for e-Infrastructures. Key contributions are: (1) a hierarchical and iterative model providing a life cycle view of scientific data showing what ideally should happen to data in e-Infrastructures while they are processed is presented generally and by the means of one pilot application. (2) The key dataspace paradigm managing relationships among participants is considered in order to explicitly support the existing relationship among primary and derived data in scientific collaborations. (3) An integrated workflow driven approach aiming to ease the process of publishing derived data within the dataspace is presented.

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Authors
  • Elsayed, Ibrahim
  • Muslimovic, Adnan
  • Brezany, Peter
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Poster)
Event Title
UK e-Science All Hands Meeting
Event Location
Edinburgh, UK
Event Type
Conference
Event Dates
8-11 Sep 2010
Publisher
UK e-Science Programme
Date
September 2008
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