Domain specific modelling for clinical research

Jim Davies, Jeremy Gibbons, Adam Milward, David Milward, Seyyed Shah, Monika Solanki, James Welch
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6y3m32grtnfktkp2oo6oqjbvta" style="color: black;">Proceedings of the Workshop on Domain-Specific Modeling - DSM 2015</a> </i> &nbsp;
The value of integrated data relies upon common data points having an accessible, consistent interpretation; to achieve this at scale requires appropriate informatics support. This paper explains how a model-driven approach to software engineering and data management, in which software artefacts are generated automatically from data models, and models are used as metadata, can achieve this. It introduces a simple data modelling language, consistent with standard object modelling notations,
more &raquo; ... her with a set of tools for model creation,maintenance, and deployment. It reports upon the application of this approach in the provision of informatics support for two large-scale clinical research initiatives.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2846696.2846701">doi:10.1145/2846696.2846701</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/oopsla/DaviesGMMSSW15.html">dblp:conf/oopsla/DaviesGMMSSW15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uudnbpirwnemxncmpxgenm42ty">fatcat:uudnbpirwnemxncmpxgenm42ty</a> </span>
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