Semantic frameworks for e-government
Proceedings of the 1st international conference on Theory and practice of electronic governance
On Specifying and Visualising Long-Running Empirical Studies
ICMT '08 Proceedings of the 1st international conference on Theory and Practice of Model Transformations
Proceedings of the compilation of the co-located workshops on DSM'11, TMC'11, AGERE!'11, AOOPES'11, NEAT'11, & VMIL'11
Form follows function: model-driven engineering for clinical trials
FHIES'11 Proceedings of the First international conference on Foundations of Health Informatics Engineering and Systems
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It is a common phenomenon for research projects to collect and analyse valuable data using ad-hoc information systems. These costly-to-build systems are often composed of incompatible variants of the same modules, and record data in ways that prevent any meaningful result analysis across similar projects. We present a framework that uses a combination of formal methods, model-driven development and service-oriented architecture (SOA) technologies to automate the generation of data management systems for cancer clinical trial research, an area particularly affected by these problems. The SOA solution generated by the framework is based on an information model of a cancer clinical trial, and comprises components for both the collection and analysis of cancer research data, within and across clinical trial boundaries. While primarily targeted at cancer research, our approach is readily applicable to other areas for which a similar information model is available.