Traceability and provenance in big data medical systems

Abstract

Providing an appropriate level of accessibility to and tracking of data or process elements in large volumes of medical data, is an essential requirement in the Big Data era. Researchers require systems that provide traceability of information through provenance data capture and management to support their clinical analyses. We present an approach that has been adopted in the neuGRID and N4U projects, which aimed to provide detailed traceability to support research analysis processes in the study of biomarkers for Alzheimer’s disease, but is generically applicable across medical systems. 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 data and workflow usage over time in neuGRID and N4U.

Citation

McClatchey, R., Shamdasani, J., Branson, A., Munir, K., & Kovács, Z. (2015, June). Traceability and provenance in big data medical systems. Paper presented at IEEE Conference on Computer Based Medical Systems, Sao Carlos, Brazil

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: IEEE Conference on Computer Based Medical Systems
• Start Date: Jun 22, 2015
• End Date: Jun 25, 2015
• Acceptance Date: Mar 16, 2015
• Publication Date: Jan 1, 2015
• Peer Reviewed: Peer Reviewed
• Pages: 226-231
• Keywords: Provenance, Workflows, Biomedical Analysis, Grid Computing, Neuroimaging
• Publisher URL: http://dx.doi.org/10.1109/CBMS.2015.10
• Additional Information: Additional Information : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; Title of Conference or Conference Proceedings : 2015 IEEE 28th International Symposium on Computer-Based Medical Systems (CBMS)