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Analysis traceability for biomedical researchers

McClatchey, Richard; Shamdasani, Jetendr; Branson, Andrew; Munir, Kamran; Liaquat Kiani, Saad

Authors

Jetendr Shamdasani

Andrew Branson

Saad Liaquat Kiani



Abstract

With the recent increase in data volumes and algorithnm complexity, clinical researchers are increasingly facing problems associated with information tracking, analysis reproducibility and the verification of scientific outputs. Systems are required that provide provenance data caoture and management as support for analyses. We present an approach that has been adopted in the neuGRID and N4U projects, which aims to provide detailed traceability to support research analysis processes in the study of biomarkers for Alzheimer’s disease. To facilitate the orchestration of complex, large-scale analyses in these projects we have adapted CRISTAL, a workflow and provenance tracking solution. The use of CRISTAL has provided a rich environment for neuroscientists to track and manage the evolution of both data and workflows in neuGRID and N4U.

Citation

McClatchey, R., Shamdasani, J., Branson, A., Munir, K., & Liaquat Kiani, S. (2014, May). Analysis traceability for biomedical researchers. Paper presented at Computer Based Medical Systems 2014, New York

Presentation Conference Type Conference Paper (unpublished)
Conference Name Computer Based Medical Systems 2014
Conference Location New York
Start Date May 27, 2014
End Date May 29, 2014
Publication Date May 27, 2014
Publicly Available Date Jun 6, 2019
Peer Reviewed Peer Reviewed
Keywords provenance, workflows, biomedical analysis, grid computing, neuroimaging
Public URL https://uwe-repository.worktribe.com/output/817354
Publisher URL http://sites.ieee.org/cbms/
Additional Information Title of Conference or Conference Proceedings : Computer Based Medical Systems 2014