29 citations · 71 across the 12 of their papers we have counts for
13 papers
Cloud Infrastructure Provenance Collection and Management to Reproduce Scientific Workflow Execution
Khawar Hasham, Kamran Munir, Richard McClatchey
The emergence of Cloud computing provides a new computing paradigm for scientific workflow execution. It provides dynamic, on-demand and scalable resources that enable the processi…
Development of a Large-scale Neuroimages and Clinical Variables Data Atlas in the neuGRID4You (N4U) project
Kamran Munir, Khawar Hasham Ahmad, Richard McClatchey
Exceptional growth in the availability of large-scale clinical imaging datasets has led to the development of computational infrastructures offering scientists access to image repo…
Traceability and Provenance in Big Data Medical Systems
Richard McClatchey, Jetendr Shamdasani, Andrew Branson +2
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. Resea…
Using Cloud-Aware Provenance to Reproduce Scientific Workflow Execution on Cloud
Khawar Hasham, Kamran Munir, Richard McClatchey
Provenance has been thought of a mechanism to verify a workflow and to provide workflow reproducibility. This provenance of scientific workflows has been effectively carried out in…
Position Paper: Provenance Data Visualisation for Neuroimaging Analysis
Bilal Arshad, Kamran Munir, Richard McClatchey +1
Visualisation facilitates the understanding of scientific data both through exploration and explanation of visualised data. Provenance contributes to the understanding of data by c…
Scientific Workflow Repeatability through Cloud-Aware Provenance
Khawar Hasham, Kamran Munir, Jetendr Shamdasani +1
The transformations, analyses and interpretations of data in scientific workflows are vital for the repeatability and reliability of scientific workflows. This provenance of scient…