The Biomedical Informatics Research Network Carl Kesselman BIRN Principal Investigator Professor of...
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Transcript of The Biomedical Informatics Research Network Carl Kesselman BIRN Principal Investigator Professor of...
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
Biomedical Informatics Research Network
• Infrastructure and services to support collaborative biomedical research
• Established by NCRR in 2001• Restructured in 2008
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”
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
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.
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
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
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)
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.
Interested to follow up?
• Contact us:– Carl Kesselman: [email protected]– Joe Ames: [email protected]– Karl Helmer: [email protected]
• BIRN Website: www.birncommunity.org