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Position paper: Provenance data visualisation for neuroimaging analysis

Arshad, Bilal; Munir, Kamran; McClatchey, Richard; Liaquat Kiani, Saad

Authors

Bilal Arshad bilal2.arshad@uwe.ac.uk

Kamran Munir Kamran2.Munir@uwe.ac.uk
Associate Professor in Data Science

Saad Liaquat Kiani saad2.liaquat@uwe.ac.uk



Abstract

Visualisation facilitates the understanding of scientific data both through exploration and explanation of visualised data. Provenance contributes to the understanding of data by containing the contributing factors behind a result. With the significant increase in data volumes and algorithm complexity, clinical researchers are struggling with information tracking, analysis reproducibility and the verification of scientific output. Data coming from various heterogeneous sources (multiple sources with varying level of trust) in a collaborative environment adds to the uncertainty of the scientific output. Systems are required that offer provenance data capture and visualisation support for analyses. We present an account for the need to visualise provenance information in order to aid the process of verification of scientific outputs, comparison of analyses, progression and evolution of results for neuroimaging analysis.

Presentation Conference Type Conference Paper (unpublished)
Start Date Dec 17, 2014
Publication Date Dec 1, 2014
Peer Reviewed Peer Reviewed
APA6 Citation Arshad, B., Munir, K., McClatchey, R., & Liaquat Kiani, S. (2014, December). Position paper: Provenance data visualisation for neuroimaging analysis. Paper presented at 12th International Conference on Frontiers of Information Technology (FIT 2014)
Keywords provenance, workflows, biomedical analysis, neuroimaging, visualisation
Publisher URL http://fit.edu.pk/
Related Public URLs http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=34323
Additional Information Title of Conference or Conference Proceedings : 12th International Conference on Frontiers of Information Technology (FIT 2014)

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