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The Biomedical Informatics Research Network
Carl KesselmanBIRN Principal Investigator
Professor of Industrial and Systems Engineering
Information Sciences Institute Fellow
Viterbi School of EngineeringUniversity of Southern California
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Biomedical Informatics Research Network
• Infrastructure and services to support collaborative biomedical research
• Established by NCRR in 2001• Restructured in 2008
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BIRN History• 3 Distributed Test beds
(Neuroscience/Neuroimaging Drivers)– Mouse, High Resolution Imaging and Animal Models of Human Diseases (Toga, UCLA)
– Morph, Brain Structure in AD, Mild Cognitive Impairment, Depression (Rosen, MGH)
– Function, Activation Differences in Schizophrenia (Potkin, UCI)
• BIRN IT Coordinating Center (Ellisman, UCSD)• Distributed hardware with defined, evolving
software on identical machines• Centralized/BIRN-wide services• BIRN “Portal”
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BIRN Executive CommitteeBIRN Executive Committee
Steering CommitteeSteering CommitteeNew and Existing
Users/CollaboratorsNew and Existing
Users/CollaboratorsCommunity
OutreachCommunity
Outreach
Working GroupsWorking Groups
BIRN CC Functions
InfrastructureCommunication
Personnel
BIRN CC Functions
InfrastructureCommunication
Personnel
Data ManagementData Management Information IntegrationInformation Integration
Knowledge EngineeringKnowledge Engineering OperationsOperations
SecuritySecurity
BIRN Administrative Structure
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BIRN Approach
• Integrated Activity supported through 2 Cooperative Agreements (2008)• Coordinating Center – Kesselman, USC/ISI• Collaborative Tools Service Network – Rosen, MGH
• Customized solutions for collaborating groups
• Capabilities – defined in terms of user needs– Tools, Services, Expertise
• Layered architecture allows BIRN capabilities to be incorporated into the existing technology of the end user.
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Engagement Model
• Contact with members of domain science collaborative group
• Define a Use Case• Identify a driving need with well-defined goals
• Technical staff to construct and maintain the network
• Buy-in from the community• Work with BIRN to develop a solution• Integrate existing tools and services with BIRN• Result is a customized, evolving infrastructure system
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BIRN Approach• Use-case driven requirements, bottom up design
• Well defined roadmaps, features, functions• Follow capabilities approach from TeraGrid– Promote reuse across communities
• Move to software and services model– BIRN not defined by the “rack”
• Outreach to new communities– More than the testbeds
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Technical Approach
• Bottom up, not top down• Focus on user requirements, what they want to do
• Create solutions, factor out common requirements– Capability model includes software and process
– Avoid “Big Design up Front” (BDUF)
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Form of the Meeting
• Part One– detailed talks on five ongoing BIRN collaborations
– chosen to show how collaborative work could be of use your institute
• Part Two– quick summaries of new and emerging capabilities
• Questions welcome– At the end of each presentation, we can field a few questions.
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Interested to follow up?
• Contact us:– Carl Kesselman: [email protected]– Joe Ames: [email protected]– Karl Helmer: [email protected]
• BIRN Website: www.birncommunity.org