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Analysis traceability for biomedical researchers

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


Jetendr Shamdasani

Andrew Branson

Kamran Munir
Associate Professor in Data Science

Saad Liaquat Kiani


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.

Presentation Conference Type Conference Paper (unpublished)
Start Date May 27, 2014
Publication Date May 27, 2014
Peer Reviewed Peer Reviewed
APA6 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
Keywords provenance, workflows, biomedical analysis, grid computing, neuroimaging
Publisher URL
Additional Information Title of Conference or Conference Proceedings : Computer Based Medical Systems 2014