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McClatchey, R.; Shamdasani, J.; Branson, A.; Munir, K. (2014)
Languages: English
Types: Unknown
This poster paper introduces a system known as CRISTAL [1] and the experience using it for medical research, primarily in the neuGRID [2] and neuGridforUsers (N4U) projects. These projects aim to provide detailed tracea-bility for research analysis processes in the study of biomarkers for Alzheimer’s disease. They have faced major challenges in managing data volumes and algo-rithm complexity leading to problems associated with information tracking, analysis reproducibility and scientific data verification. We present a working system that supports provenance data management for medical researchers.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. Branson, A. et al., CRISTAL : A Practical Study in Designing Systems to Cope with Change. Information Systems journal. Elsevier Publishers Vol 42, pp 139-152 (2014).
    • 2. Anjum, A. et al., Provenance Management for Neuroimaging Workflows in neuGRID, Intl Conf on P2P, Parallel, Grid, Cloud and Internet Computing. Barcelona, Spain (2011)
    • 3. Munir, K. et al., An Integrated e-Science Analysis Base for Computational Neuroscience Experiments and Analysis. Procedia - Social & Behavioral Sciences. Vol 73 pp 85-92 (2013).
    • 4. Chatrchyan, S et al., The Compact Muon Solenoid Experiment at the CERN LHC. The Compact Muon Solenoid Collaboration, The Journal Instrumentation Volume: 3 Article No: S08004, Institute of Physics Publishers (2008)
    • 5. Shamdasani, J. et al., Towards Semantic Provenance in CRISTAL. Proc. of the 3rd International Workshop on the role of Semantic Web in Provenance Management (SWPM12) pp 29-36 ISBN: 978-1-4673-1328-5 Heraklion, Crete. IEEE Press May (2012).
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