Model-driven architecture for cancer research
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 pro...
| Main Authors: | , , , , , |
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| Format: | Conference item |
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2007
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| _version_ | 1797099319834181632 |
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| author | Calinescu, R Harris, S Gibbons, J Davies, J Toujilov, I Nagl, S |
| author_facet | Calinescu, R Harris, S Gibbons, J Davies, J Toujilov, I Nagl, S |
| author_sort | Calinescu, R |
| collection | OXFORD |
| description | 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. © 2007 IEEE. |
| first_indexed | 2024-03-07T05:22:07Z |
| format | Conference item |
| id | oxford-uuid:df480d41-f7eb-4ff2-85c0-b88468f2bc55 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T05:22:07Z |
| publishDate | 2007 |
| record_format | dspace |
| spelling | oxford-uuid:df480d41-f7eb-4ff2-85c0-b88468f2bc552022-03-27T09:38:17ZModel-driven architecture for cancer researchConference itemhttp://purl.org/coar/resource_type/c_5794uuid:df480d41-f7eb-4ff2-85c0-b88468f2bc55Symplectic Elements at Oxford2007Calinescu, RHarris, SGibbons, JDavies, JToujilov, INagl, SIt 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. © 2007 IEEE. |
| spellingShingle | Calinescu, R Harris, S Gibbons, J Davies, J Toujilov, I Nagl, S Model-driven architecture for cancer research |
| title | Model-driven architecture for cancer research |
| title_full | Model-driven architecture for cancer research |
| title_fullStr | Model-driven architecture for cancer research |
| title_full_unstemmed | Model-driven architecture for cancer research |
| title_short | Model-driven architecture for cancer research |
| title_sort | model driven architecture for cancer research |
| work_keys_str_mv | AT calinescur modeldrivenarchitectureforcancerresearch AT harriss modeldrivenarchitectureforcancerresearch AT gibbonsj modeldrivenarchitectureforcancerresearch AT daviesj modeldrivenarchitectureforcancerresearch AT toujilovi modeldrivenarchitectureforcancerresearch AT nagls modeldrivenarchitectureforcancerresearch |