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PsyGrid: Applying e-Science to Epidemiology

Ainsworth, J. ; Harper, R. ; Juma, I. ; Buchan, I

IEEE Symposium on Computer-Based Medical Systems;Salt Lake City, UT. IEEE; 2006.

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Abstract

The process of hypothesis-driven epidemiological research has three phases - the establishment and characterisation of a large, representative cohort from a geographically distributed population; the integration of the cohort data with other data sources to provide additional characterisation; the formulation of a hypothesis and generation of the corresponding predictions. Grid-computing technologies make possible secure, distributed collaboration, and the ability to share data sources, computational resources and storage resources across administrative boundaries. PsyGrid is an e-science project established to apply grid-computing technologies to each of the three phases, with the aim of eliminating the obstacles that hinder epidemiological research. We describe a system for distributed cohort characterisation, and the first application to the study of first episode psychosis

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Conference venue:
Salt Lake City, UT
Publication date:
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Abstract:
The process of hypothesis-driven epidemiological research has three phases - the establishment and characterisation of a large, representative cohort from a geographically distributed population; the integration of the cohort data with other data sources to provide additional characterisation; the formulation of a hypothesis and generation of the corresponding predictions. Grid-computing technologies make possible secure, distributed collaboration, and the ability to share data sources, computational resources and storage resources across administrative boundaries. PsyGrid is an e-science project established to apply grid-computing technologies to each of the three phases, with the aim of eliminating the obstacles that hinder epidemiological research. We describe a system for distributed cohort characterisation, and the first application to the study of first episode psychosis

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Record metadata

Manchester eScholar ID:
uk-ac-man-scw:279138
Created by:
Dixon, Emma
Created:
19th November, 2015, 15:33:01
Last modified by:
Dixon, Emma
Last modified:
19th November, 2015, 15:33:01

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