  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.
