How Dead Data is Killing Productivity in the Lab

In this article, Ryan Sasaki discusses the traditional one-and-done lifecycle, where knowledge is captured by a scientist, but essentially frozen as "dead" data in unstructured formats; and presents solutions as to how managing all this information and knowledge to capture the lifecycle of an active pharmaceutical ingredient, along with the fate of its related impurities and degradation products, can help organizations leverage and improve their process knowledge both on a specific project as well as future projects.

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