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Position paper: Provenance data visualisation for neuroimaging analysis

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

Position paper: Provenance data visualisation for neuroimaging analysis Thumbnail


Authors

Bilal Arshad

Saad Liaquat Kiani



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Presentation Conference Type Conference Paper (unpublished)
Conference Name 12th International Conference on Frontiers of Information Technology (FIT 2014)
Start Date Dec 17, 2014
End Date Dec 19, 2014
Publication Date Dec 1, 2014
Publicly Available Date Jun 6, 2019
Peer Reviewed Peer Reviewed
Keywords provenance, workflows, biomedical analysis, neuroimaging, visualisation
Public URL https://uwe-repository.worktribe.com/output/806902
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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