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Michael Marron, Ph'D', Director Division of Biomedical Technology National Center for Research Resou

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... Institutes of Health. Department of Health and Human Services ... Biomedical Informatics Research Network. A testbed for a biomedical knowledge infrastructure ... – PowerPoint PPT presentation

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Title: Michael Marron, Ph'D', Director Division of Biomedical Technology National Center for Research Resou


1
Michael Marron, Ph.D., DirectorDivision of
Biomedical TechnologyNational Center for
Research ResourcesNational Institutes of
HealthDepartment of Health and Human Services
  • Biomedical Informatics Research Network

2
BIRNBiomedical Informatics Research Network
  • A testbed for a biomedical knowledge
    infrastructure
  • Federated database of neuroimaging data
  • Fusion of diverse data sources (location level
    of aggregation)
  • Grid access to computational resources
  • Datamining software
  • Scalable and extensible
  • Driven by research needs-pull, not technology-push

3
BIRN Infrastructure
  • Establish a stable high performance network
    linking key Biotechnology Centers and General
    Clinical Research Centers using Internet2
  • Establish distributed and linked data collections
    with partnering groups
  • Enable the use of "grid-based" computing
    resources for project specific data refinements
    and comparisons
  • Enable data mining from multiple data collections
    or databases on neuroimaging
  • Build a stable software and hardware
    infrastructure that will allow centers to
    coordinate efforts to accumulate larger studies
    than can be carried out at one site.

4
BIRN Sites
5
Information Integration
What is the cerebellar distribution of rat
proteins with more than 70 homology with human
NCS-1?
Integrated View
Integrated View Definition
Mediator
Wrapper
Wrapper
Wrapper
Wrapper
Web
protein localization
morphometry
neurotransmission
CaBP, Expasy
6
Mouse BIRN
  • Animal Models of Disease /Multi Scale/Multi
    Method - MS Mouse and DAT KOM (a schizophrenic
    and otherwise interesting mouse animal model)
  • Looking at different resolutions by combining
    data from multiple modalities
  • Duke, UCLA, UC San Diego, Cal Tech

7
Morphology BIRN
  • Neuroanatomical correlates of neuropsychiatric
    illness (unipolar depression, Alzheimer's
    disease, mild cognitive impairment)
  • Overcome obstacles to the use of neuroimaging
    data as quantitative outcome measures for
    clinical investigation including issues raised by
    longitudinal and multi-site studies.
  • Do structural differences contribute to specific
    symptoms such as memory dysfunction or depression
    independent of diagnosis?
  • Do specific structural differences distinguish
    specific diagnostic categories?
  • Harvard (MGH and BWH), Duke, UCLA, UC San Diego,
    Johns Hopkins, UC Irvine

8
Functional BIRN
  • Characterizing the collection and integration of
    fMRI data from multiple sites
  • Study schizophrenia through fMRI images collected
    from patients around the country using
    standardized protocols
  • UCLA, UC San Diego, UC Irvine, Harvard (MGH and
    BWH), Stanford, Minnesota, Iowa, New Mexico,
    Duke, North Carolina

9
BIRN Coordinating Center
  • UC San Diego
  • Best practices aggregator
  • Technical development center
  • Center for training and experience exchange
  • Expert-level technical support
  • High-level project management
  • Oversight bodies point of contact

Uniform Hardware for BIRN Sites
  • Gigabit/10/100 Network Switch Cisco4006
  • Network Statistics System
  • Gigabit Ethernet Network Probe
  • Network Attached Storage Gigabit Ether
  • 1.0 to 8.0 TB
  • Grid POP
  • SRB, Globus
  • Dual Processor Linux w/ 1GB memory
  • DL 380 General purpose
  • Specialized encryption
  • UPS for Rack

10
Challenges
  • Large data sets
  • ISCAR - information storage, curation, archiving,
    and retrieval
  • Bandwidth issues
  • Quality control of data only analyzed by machine
  • Visual interfaces for complex data sets
  • Fostering collaboration
  • Reward structures in government and academic
    institutions
  • Intellectual property issues
  • Data integrity
  • Resistance to collaborate with competitors
  • Data sharing issues (ownership, privacy,
    authorship)

11
More Challenges
  • Federated DB /Knowledge Engineering
  • Dictionaries Ontologies
  • Integrating different data types
  • Accessing legacy systems
  • Distributed query computations
  • High-level management of projects
  • Overcome technical institutional barriers
  • Degree of centralization needed
  • Role of standards
  • Project subdivision and optimization

12
BIRN Future
  • Addition of new sites in a rapid, well-defined,
    affordable fashion
  • Grid-based National Clinical Research Network
  • Cross-species integration of data
  • Characterization of treatment at multiple levels
  • Expand model to other areas of biomedical research
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