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Linked Data in a Scientific Collaboration Framework

Linked Data in a Scientific Collaboration Framework. Semantic Web for Health Care and Life Sciences WWW2008 Beijing, China Sudeshna Das April 22, 2008. Outline. Problem Statement SCF project Key Features Architecture Summary Team. Problem Stamement.

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Linked Data in a Scientific Collaboration Framework

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  1. Linked Data in a ScientificCollaboration Framework Semantic Web for Health Care and Life Sciences WWW2008 Beijing, China Sudeshna Das April 22, 2008

  2. Outline • Problem Statement • SCF project • Key Features • Architecture • Summary • Team

  3. Problem Stamement Each scientific web community has its own form of organization for digital resources

  4. Problem Statement Each scientist also has his or her own form of resource organization

  5. Problem Statement Structured digital community that leverages existing knowledge bases and captures semantics of the science: Providing fertile collaborative environment & knowledge mining with improved precision

  6. What is the SCF? Scientific Collaboration Framework • Reusable infrastructure for building biomedical web communities • Based on Drupal • low barrier to entry • Integrated Collaborative tools • Web 2.0 • Adapted to the Semantic Web • leverages existing linked data • Designed with emphasis on usability and usefulness

  7. Designing the interface

  8. SCF Pilot • Pilot with Harvard Stem Cell Institute (HSCI) • Intra-faculty institute to develop joint work on stem cell research • HSCI members • 45 principal faculty • 70 affiliated faculty • Researchers in laboratories • Interdisciplinary and distinct institutions and locations • Full time senior science editor HSCI StemCenter will be the collaborative Knowledge Base for HSCI

  9. Key Features • Member Profiles • Bio Resources • Genes, Antibodies, Model Organisms, • Research Statements • Publishing of on-line content • Articles, Interviews, News • Comments, discussions, tags • Taxonomies • Exposes linked data

  10. Member

  11. Member

  12. Research Statement

  13. Research Statement

  14. Gene Mus Musculus

  15. Architecture

  16. Publication

  17. Publication

  18. Summary • Reusable framework for building communities • Easy to adopt • Leverages linked data • Interoperable with other knowledge-bases • Future plans to represent other biological resources

  19. IIC Software Engineer Tom Green Design Alister Lewis-Bowen Louis Weitzman Project Management Sudeshna Das Tim Clark HSCI Lisa Girard Maureen Lyons Brock Reeve NeuroCommons Alan Ruttenberg Jonathan Rees Alzforum June Kinoshita Elizabeth Wu Team

  20. RELEASES First Release Publishing of on-line content (A) Bio Resources (C) (2 out of 6) Member Catalog (B) Second Release Workgroups (D) Events (E)) Remaining Bio Resources (C) Third Release Semantic annotation of published content COMPONENTS of FRAMEWORK Publishing of on-line content • a. Books with chapters • b. News • c. Interviews • d. Perspectives • B. Member Catalog • C. Biological Resources • a. Genes • b. Antibodies • c. Cell-lines • d. Model Organisms • e. Protocols • f. Sequences • D. Workgroups • a. File sharing • b. Collaborative grant writing • c. Discussion forums • d. Web conferencing • e. Visual collaborative tools (virtual whiteboards) • E. Events • a. Conferences • b. Virtual seminars/conferences/symposiums

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