Prof. Davies talked about ‘disposability’
as a key consideration in systems engineering – we loved his lo-tech and low
cost approach – he asserted that development project costs (as charged by third
party organisations) are, in his opinion, out by at least one order of magnitude
(did he say two?) – i.e. 50K projects could be completed for 5K, especially using
model-driven techniques.
Modelling languages are becoming programming languages,
he noted and he also numbered amongst those advocating the use of open source
solutions, mentioning OpenClinica software for clinical trials management. He covered
metamodels and stated that “all our models are semantic metadata” before
issuing the following grand challenge: “to make model-driven management of data
standard practice in healthcare research and to ensure that every item of data
is linked to a computable semantic representation!”
This is the abstract for Prof. Davies’
talk:
“Using model-driven techniques, we can
generate or configure parts of an information system based upon abstract descriptions
of structure and processes. These descriptions serve two purposes: they are
"source code" for the system, but they are also documentation - they
are items of metadata. By managing the production and evolution of this
metadata, we can increase the quality, value, and interoperability of our data
without increasing the costs of data collection, management, or linkage. In
this talk, I will explore the use of model-driven technology in CancerGrid and
other projects, and discuss some of the services needed to support metadata
production and evolution.”
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