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The caBIG Strategic Plan

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Kim Johnson Bob Beck Frank Manion Michael Ochs ... David Tuck Thomas Caruso Bob Annechiarico Emily Allred. Greg Bielawski Joel Saltz John Speakman ... – PowerPoint PPT presentation

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Title: The caBIG Strategic Plan


1
The caBIG Strategic Plan
  • J. Robert Beck, M.D.
  • For the Strategic Level Strategic Planning
    Working Group of the Cancer Biomedical
    Informatics Grid

2
What is the caBIG Community?
  • A Community of Communities
  • Sharing Common Interests
  • Data Standards
  • Sharable and Interoperable Architectures
  • Informatics Tools
  • Cancer Research
  • To the Ultimate Benefit of Patients

3
caBIGs Five Year Mission
  • Develop Standards, Tools, and Prototypes
  • Bias Toward Action and Interaction
  • Easy Methods of Dissemination
  • Open Source
  • Open Access
  • Open Development
  • Federation

4
Workspaces and Working Groups
5
A Focus on Interaction
6
Scenario, 2008
  • A researcher involved in a phase II clinical
    trial of a new molecularly targeted therapeutic
    for brain tumors observes that cancers derived
    from one specific tissue progenitor appear to be
    strongly affected. The trial has been generating
    proteomic and microarray data. The researcher
    would like to identify potential biochemical and
    signaling pathways that might be different
    between this cell type and other potential
    progenitors in cancer, deduce whether anything
    similar has been observed in other clinical
    trials involving agents known to affect these
    specific pathways, and identify any studies in
    model organisms involving tissues with similar
    pathway activity.

7
Today vs 2008?
  • In 2005 such a study would involve immense
    manual work getting information locally and from
    other sites, precluding the possibility of
    identifying the required data and thus being
    unable to deduce the likely significance of the
    trial observation. However, with caBIG
    compliant components now under development, the
    researcher would be able to perform the analysis
    routinely, with data flowing through systems and
    analysis being automatic. This analysis will
    yield biomarkers and potential drug targets
    gathered from multiple workspaces and make it
    possible to develop treatment modalities faster,
    less expensively, and more effective for
    patients.

8
Discovery utilizing caBIG Integrated Cancer
Research Tools
9
Overall Goals for caBIGShort-term (December
2005)
  • Develop first generation caBIG compliant tools
    and data sets and supporting data and
    architecture standards.
  • Promulgate Gold, Silver, and Bronze development
    project standards to national cancer research
    community.
  • Establish a mechanism for engaging the private
    sector, cancer research organizations not
    currently contracted under caBIG, and other
    Federal agencies and divisions into the caBIG
    community.
  • Publish white paper on Mission and Goals of caBIG
    aimed at a broad audience.

10
Overall Goals for caBIGThree-year (mid-2008)
  • Develop sufficient research tools and standards
    to have a positive impact on the cancer research
    community, as measured by adoption of relevant
    caBIG principles in project proposals.
  • Ensure widespread adoption of developer standards
    so that funded developer projects are operating
    under the Gold standard of compatibility.
  • Adopt and use caBIG interoperable tools and data
    sets within the caBIG community.
  • Develop mechanisms for engaging and promoting
    caBIG compliant technologies and established
    datasets within the oncology research community.

11
Overall Goals for caBIGFive-year (mid-2010)
  • Ensure widespread adoption, dissemination, and
    use of caBIG interoperable tools, standards, and
    data sets within the larger cancer community, to
    include the biopharmaceutical industry, non-NCI
    cancer centers, and the national cancer research
    enterprise.
  • Begin to see results of caBIG-compliant
    interdisciplinary and inter-institutional
    research affecting clinical oncology care.

12
Workspace Goals
  • Clinical Trials Management Systems
  • Integrative Cancer Research
  • Tissue Banks and Pathology Tools
  • Architecture (cross-cutting)
  • Vocabulary and Common Data Elements
    (cross-cutting)

13
Architecture
  • Conceptually, caBIG has adopted two primary
    guiding principles
  • To bring systems on-line quickly, caBIG is
    committed to a bias for action. This implies a
    commitment to making decisions and moving
    forward, even if perfection cannot be achieved.
  • To allow long-term evolution and improvement of
    architectural design, caBIG is committed to
    designing for change.
  • To turn these thoughts into action, caBIG has
    also adopted a two-pronged practical approach
  • If requirements are well-understood and good
    solutions are available, caBIG initiates
    developmental activities within the architectural
    workspace.
  • If requirements are less clear or if solutions
    are not yet available, caBIG commissions analysis
    and assessment activities.

14
Service-Oriented Architecture
15
Mapping caBIG Compliant Applications to the Grid
16
Architecture Goals
17
Vocabulary and Common Data Elements
18
Clinical Trials Management Systems
19
Integrative Cancer Research
20
Tissue Banks and Pathology Tools
21
Data Sharing and Intellectual Capital
22
DSIC Goals
23
Training Working Group
24
Training Goals
25
caBIG Strategic Planning An Ongoing Activity,
a Living Document
  • Incorporation of new workspaces
  • New projects, new technologies
  • Opportunity for pathology informatics in
    several work areas

26
The SPSLWG
  • Joyce Niland Doug Stahl Lincoln Stein
    Michael Townsend
  • Amin Chisti Daniel Geraghty Bob Robbins
    Donald Berry
  • John Cook Marcella Johnson Maurie Markman
  • DeLynn Shetter David Stivers Ken Buetow
    Peter Covitz
  • Mary Jo Deering Leslie Derr Sue Dubman
    Gene Levinson
  • Deborah Collyar JoAnne Ruh Clayton Naeve
    Seng-jaw Soong
  • Jessica Bondy Terry Braun Thomas Casavant
  • Kim Johnson Bob Beck Frank Manion
    Michael Ochs
  • Howard Bilofsky David Birtwell David
    Fenstermacher
  • Mike Becich Valerie Monaco Jeffrey Bond
    John Casagrande
  • Jeffrey Milbrandt Rakesh Nagarajan Mark
    Watson
  • Mark Adams Theo Wills Chalk Dawson
  • David Tuck Thomas Caruso Bob Annechiarico
    Emily Allred
  • Greg Bielawski Joel Saltz John Speakman
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