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A Framework for Metadata Driven e-Science Implementations

Yin Chen

Many e-Science applications are data intensive. Metadata is at the heart to serve the semantic interpretation, discovery, and integration of large-scale heterogeneous scientific data. The project explores observations of how metadata are used in a variety of e-Science disciplines, such as annotation, workflow, information integration, provenance, and curation. It aims to analyse the requirements for metadata central to e-Science applications, and examines state-of-the-art approaches. Its goal is to provide a flexible framework that comprises of the five basic elements necessary for delivery of successful metadata-driven projects.

Project status: 
Degree level: 
Supervisors @ NeSC: 
Other supervisors: 
Dr Stuart Aitken (School of Informatics, University of Edinburgh)
Subject areas: 
Distributed Systems
Software Engineering
Student project type: