Biomedical Engineering Reference
In-Depth Information
Mission
Standardize and streamline data interchange in life science
research and development (R & D).
Method
Precompetitive collaboration between life science, academia,
and commercial partners.
Result
Standardization will drive down the cost of data exchange, cloud
computing, and process outsourcing.
Benefi t
Informatics organizations can streamline commodity services
and focus on innovation in R & D.
As of April 2010, the Alliance had over 30 members from life science com-
panies and vendors.
A number of projects were initiated. The ELN query service is the most
relevant here. The purpose of this project is to derive a set of standards that
ELN vendors would implement to enable facile data extraction and inter-
change between ELNs. This is a concrete example of the need to collaborate
driving system design. If successful, it will change the market, reducing the
feeling that an organization is locked into a vendor, and CROs who have
to collaborate with multiple companies will only need to support one ELN
that can share information with all the ELNs that the contracting organiza-
tions use.
19.7
QUALITY BY DESIGN
Capture of all the data and information associated with an experiment gives
the potential to incorporate knowledge into experiments as they are executed.
Repetitions of a process allow weaknesses to be detected, evaluated, and
improved. As the body of knowledge increases, users can evaluate a process
and predict where the weaknesses are and correct them before execution. The
process is then designed to be of high quality from the beginning rather than
improve it in a reactive manner over time [13].
19.8
ACADEMIC PROJECTS
ELN development has been largely a commercial initiative, with many com-
panies competing to provide a solution. This means that there is little public
information on the design and use of ELN systems. There are, however,
two notable projects: open-notebook science and SmartTea. These are dis-
cussed below.
19.9
OPEN - NOTEBOOK SCIENCE
The term open-notebook science was coined by Bradley [14] (and discussed
in more detail in Chapter 25). In essence it is a real-time notebook that is
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