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Exploiting the Life Science Data Explosion to Speed New Drug Discovery

with the depth of syntax required to deal with the intricacies of the complex life sciences data environment. To address these issues GE Healthcare Informatics has created a hybrid query definition language called sSQL – based on SQL standards, enhanced to provide the capability to simply define complex queries on arbitrarily structured and nested sources.

This query mediation level provides the initial touch point to the emerging data universe that traditional IT staff can understand and work with, thus enabling them to provide greater value. As a result, we begin to open up the world of biology to a larger audience and relieve some of the conceptual barriers between IT and Biology.

A Manageable Data Asset
At many points in the discovery process we see that the data produced from research must flow back into the organization, and as organizations mature we see data become an ever more critical asset. This presents us with a problem and an opportunity: the problem is data collection and the opportunity is the exploitation of the data assets in ever more global ways. Many leading biotechnology companies have realized the value in the data they are amassing, but have not yet fully leveraged that value.

To manage data in a coherent way, GE Healthcare Informatics provides collection mechanisms that allow integration of many different data sources transparently - agnostic to a source’s physical form.

One example of this would be the data flowing from instruments and Laboratory Instrument Management Systems (LIMS). The mechanisms available to extract data from such systems obviously exist, but are generally specialized and not easily “merged” with other external sources. The GE Healthcare Informatics “light weight wrapper” technology enables integration of such sources with little effort. This allows discoveryHub to utilize the existing extr
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