All Outputs (4)

Re-provisioning of cloud-based execution infrastructure using the cloud-aware provenance to facilitate scientific workflow execution reproducibility (2016)
Book Chapter
Khawar, H., Munir, K., McClatchey, R., & Shamdasani, J. (2016). Re-provisioning of cloud-based execution infrastructure using the cloud-aware provenance to facilitate scientific workflow execution reproducibility. In M. Helfert, V. M. Munoz, & D. Ferguson (Eds.), Cloud Computing and Services Science (74-94). Springer

Provenance has been considered as a means to achieve sci- entific workflow reproducibility to verify the workflow processes and results. Cloud computing provides a new computing paradigm for the workflow execution by o↵ering a dynamic and scalable en... Read More about Re-provisioning of cloud-based execution infrastructure using the cloud-aware provenance to facilitate scientific workflow execution reproducibility.

Data management challenges in paediatric information systems (2014)
Book Chapter
McClatchey, R. (2014). Data management challenges in paediatric information systems. In B. Bressan (Ed.), From Physics to Daily Life: Applications in Biology, Medicine and Healthcare. CERN: Wiley Publishers

There is a compelling demand for the data integration and exploitation of heterogeneous biomedical information for improved clinical practice, medical research, and personalised healthcare across the EU. The area of paediatric information integration... Read More about Data management challenges in paediatric information systems.

Research traceability using provenance services for biomedical analysis and the neuGRID consortium (2010)
Book Chapter
Branson, A., Anjum, A., Bloodsworth, P., Habib, I., & McClatchey, R. (2010). Research traceability using provenance services for biomedical analysis and the neuGRID consortium. In T. Solomonides,, I. Blanquer, V. Breton, T. Glatard, & Y. Legré (Eds.), Healthgrid Applications and Core Technologies (88-89). IOS Press

A data model for integrating heterogeneous medical data in the health-e-child project (2008)
Book Chapter
Branson, A., Hauer, T., McClatchey, R., Rouglin, D., & Shamdasani, J. (2008). A data model for integrating heterogeneous medical data in the health-e-child project. In T. Solominides, J. C. Silverstein, J. Saltz, Y. Legré, M. Kratz, I. Foster, …J. R. Beck (Eds.), Global Healthgrid: e-Science Meets Biomedical Informatics (13-23). IOS Press