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As markets demand greater efficiencies in all areas of the Life Sciences, the field is becoming increasingly "industrialized" through the increasing application of computer-driven analytical instruments.

Unfortunately, there is a gap in this assembly line. There are no solutions to make the massive amounts of raw, unprocessed, proprietary data produced by the instruments open and accessible.

Read our white paper on the issues of data management in the life sciences.

 

"Holding the data hostage in proprietary file formats should not be tolerated in the scientific community. The future of data-intensive biology depends on ensuring open data standards and freely-exchangeable file formats"

- Nature Biotechnology

There is an increasing dependence on contract laboratories in the pharmaceutical industry. Contract Research Organizations (CROs) offer lower sample analysis cost for routine analysis.

Routine analysis, however, does not mean that measurements are simple, nor can they be performed without scientific interaction between sponsors, CROs and regulators.

In the complex world of bioanalytical contract research, communication channels often cross multiple organizations and require the management of complex protocols. Protocols involving animal or human subjects are highly susceptible to change, requiring all the groups involved in the study to remain synchronized.

From assay validation to study sample assay reproducibility, the industry needs a way to communicate more and more information at an increasing level of detail to maintain control over the process of drug testing. These processes are also heavily regulated which means that the data collected during these studies will likely be needed long after the study has been completed, often for many years.

Read our white paper on the issues of data interchange with bioanalytical CROs.

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