%0 Journal Article %1 Davies2014126 %A Davies, Jim %A Gibbons, Jeremy %A Harris, Steve %A Crichton, Charles %D 2014 %J Science of Computer Programming %K aligned-project-background %N 0 %P 126 - 143 %R http://dx.doi.org/10.1016/j.scico.2013.02.010 %T The CancerGrid experience: Metadata-based model-driven engineering for clinical trials %U http://www.sciencedirect.com/science/article/pii/S0167642313000452 %V 89, Part B %X Abstract The CancerGrid approach to software support for clinical trials is based on two principles: careful curation of semantic metadata about clinical observations, to enable subsequent data integration, and model-driven generation of trial-specific software artefacts from a trial protocol, to streamline the software development process. This paper explains the approach, presents four varied case studies, and discusses the lessons learned.

@article{Davies2014126, abstract = {Abstract The CancerGrid approach to software support for clinical trials is based on two principles: careful curation of semantic metadata about clinical observations, to enable subsequent data integration, and model-driven generation of trial-specific software artefacts from a trial protocol, to streamline the software development process. This paper explains the approach, presents four varied case studies, and discusses the lessons learned. }, added-at = {2015-03-27T16:30:53.000+0100}, author = {Davies, Jim and Gibbons, Jeremy and Harris, Steve and Crichton, Charles}, biburl = {https://www.bibsonomy.org/bibtex/27144973bea8cfeeb05c5f0e8799f8a71/alignedproject}, doi = {http://dx.doi.org/10.1016/j.scico.2013.02.010}, interhash = {ddfe3fbc98c9b343db08c8599a74bc13}, intrahash = {7144973bea8cfeeb05c5f0e8799f8a71}, issn = {0167-6423}, journal = {Science of Computer Programming }, keywords = {aligned-project-background}, note = {Special issue on Success Stories in Model Driven Engineering }, number = 0, pages = {126 - 143}, timestamp = {2016-06-20T15:42:07.000+0200}, title = {The CancerGrid experience: Metadata-based model-driven engineering for clinical trials }, url = {http://www.sciencedirect.com/science/article/pii/S0167642313000452}, volume = {89, Part B}, year = 2014 }