A systematic framework for data management and integration in a continuous pharmaceutical manufacturing processing line

Cao et al. describe their design
and methodology used in constructing a system of tighter data integration for pharmaceutical research and manufacturing in this 2018 paper published in Process. Recognizing the “integration of data in a consistent, organized, and reliable manner is a big challenge for the pharmaceutical industry,” the authors developed an ontological information structure relying on the ANSI/ISA-88 batch control standard, process control systems, a content management systems, a purpose-built electronic laboratory notebook, and cloud services, among other aspects. The authors conclude, after describing two use cases, that “data from different process levels and distributed locations can be integrated and contextualized with meaningful information” with the help of their information structure, allowing “industrial practitioners to better monitor and control the process, identify risk, and mitigate process failures.”

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