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| Peter Gates, Johnson & Johnson PR&D |
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Peter Gates received his Ph.D. in Physiology and Biophysics at Rush University in Chicago in 1989 and did a post-doc at the Mayo Foundation studying the electrophysiology of ocular epithelia. He spent four years working for Sterling Winthrop Pharmaceutical Research Division in the scientific computing department. He subsequently spent four years working as an independent contractor in both large and small companies including Rhone-Poulenc Rorer, SmithKline Beecham and Affymetrix. In 1998 Peter went on to work for Emax Solution Partners where he was responsible for designing, implementing and deploying enterprise software used to manage commercial and proprietary chemical assets for pharmaceutical research organizations. At Emax Peter interacted with customers in Bristol-Myers Squibb, Schering Plough, Chiron and Roche. Two years later, as the .com bubble was bursting Peter took a position with 3-Dimensional Pharmaceuticals Inc. managing database technology for the biotech startup. Three years later Johnson & Johnson Pharmaceutical Research & Development L.L.C. acquired 3-Dimensional Pharmaceuticals. Peter currently is responsible for database efforts in support of both the Advanced Biological and Chemical Discovery (ABCD) program and the J&J PRD Spring House Research Site.
He currently resides in his residence of 15 years in Collegeville Pennsylvania with his wife and two daughters. He spends his time off gardening and riding his road bike in the hills of southeastern Pennsylvania.
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The ABCD Program, a Framework for Knowledge Management
Peter Gates, Johnson & Johnson Pharmaceutical Research & Development, LLC
We begin with a discussion of what uniquely defines the problem of knowledge management in pharmaceutical research. Based on lessons learned in the Advanced Biological and Chemical Discovery (ABCD) program we present an architecture for pharmaceutical research content. This data architecture can then be used to support the dynamics of data accumulation. Care in the design of the architecture along with the appropriate use of metadata allows for the program to adapt to an evolving organization. This strategy provides for effective knowledge management on short timescales.
Over longer time periods this architecture will no longer support fully the demands of the organization. To address this issue we consider the dynamics of technological and organizational change as they relate to the evolution of the architecture and its implementation. These considerations lead to a general framework in which to think about knowledge management in a research setting.
As we develop our framework we consider timescale specific strategies for managing the impact of change based on our experiences in the ABCD program. These strategies include architecture definition, an analysis of timescales, data curation, configuration management, release management, analysis patterns, database encapsulation and program governance.
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