processes Article A Systematic Framework for Data Management and Integration in a Continuous Pharmaceutical Manufacturing Processing Line Huiyi Cao 1, Srinivas Mushnoori 2, Barry Higgins 3, Chandrasekhar Kollipara 4, Adam Fermier 4, Douglas Hausner 1, Shantenu Jha 2, Ravendra Singh 1, Marianthi Ierapetritou 1 and Rohit Ramachandran 1,* 1 Department of Chemical and Biochemical Engineering, Engineering Research Center for Structured Organic Particulate Systems (C-SOPS), Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;
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[email protected]; Tel.: +1-848-445-6278 Received: 28 March 2018; Accepted: 4 May 2018; Published: 10 May 2018 Abstract: As the pharmaceutical industry seeks more efficient methods for the production of higher value therapeutics, the associated data analysis, data visualization, and predictive modeling require dependable data origination, management, transfer, and integration. As a result, the management and integration of data in a consistent, organized, and reliable manner is a big challenge for the pharmaceutical industry. In this work, an ontological information infrastructure is developed to integrate data within manufacturing plants and analytical laboratories. The ANSI/ISA-88.01 batch control standard has been adapted in this study to deliver a well-defined data structure that will improve the data communication inside the system architecture for continuous processing.