Abstract | ||
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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, together 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. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1145/2846696.2846701 | DSM@SPLASH |
Field | DocType | Citations |
Informatics,Data mining,Data modeling,Metadata,Model transformation,Programming language,Software deployment,Software engineering,Computer science,Object model,Software,Data management | Conference | 0 |
PageRank | References | Authors |
0.34 | 8 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jim Davies | 1 | 673 | 80.95 |
Jeremy Gibbons | 2 | 469 | 42.73 |
Adam Milward | 3 | 0 | 0.68 |
David Milward | 4 | 196 | 27.51 |
Seyyed Shah | 5 | 0 | 0.34 |
Monika Solanki | 6 | 571 | 38.08 |
James Welch | 7 | 0 | 0.68 |