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Designing for e-Health: recurring scenarios in developing grid-based medical imaging systems
John Geddes1, Clare Mackay, Sharon Lloyd
1Department of Psychiatry, University of Oxford.
Studies in Health Technology and Informatics
|July 11, 2006
Summary
This study examines socio-technical challenges in scaling Grid computing for neuroscience research. It highlights issues with technological networks outpacing regulatory frameworks for data sharing.
Area of Science:
- Neuroscience
- Computer Science
- Information Technology
Background:
- The increasing need for collaborative research environments in neuroscience.
- The development of Grid-based systems for sharing large datasets.
Purpose of the Study:
- To outline socio-technical issues encountered in Grid projects.
- To highlight challenges in scaling technological networks for data sharing.
Main Methods:
- Drawing on experiences from UK Grid projects, specifically NeuroGrid.
- Analyzing the development of a Grid-based collaborative research environment.
Main Results:
- Identification of recurrent socio-technical challenges in distributed research.
- Technological network scaling often precedes regulatory framework development.
Conclusions:
- Addressing socio-technical aspects is crucial for successful Grid implementation in neuroscience.
- The gap between technological and regulatory scaling poses a significant barrier to data sharing.