Life Science organisations have many collaborations, from early research through to late-stage development and beyond, involving many information flows. What are the  key challenges in driving value from  these collaborations? Tim Eyres - http://www.linkedin.com/in/timeyres 14 October 2009
Collaborative Interactions with R&D Combinatorial chemistry Genomics Bioinformatics Crop transformation Marker assisted breeding Advanced formulation Molecular toxicology and environmental science High Throughput Screening Life Science R&D Academia Non-R&D Government Customers IT partners Research partners
Challenges to Collaborative Interactions with R&D Life Science R&D Academia Non-R&D Government Customers IT partners Research partners Security / Legal Diversity Culture Geography Technology Knowledge aggregation and discovery Accessible Structured knowledge Unstructured knowledge Data volume Real-time interactions
Challenges Post R&D 9 Years Discovery Development Trials & Safety Sales Relationship management Feedback Knowledge transfer Collaborative discovery Feedback stretched over time Cross domain mapping Diversity Culture Geography Technology Structured knowledge Unstructured knowledge

Key Architectural Challenges In Driving Value From Life Science Collaborations

  • 1.
    Life Science organisationshave many collaborations, from early research through to late-stage development and beyond, involving many information flows. What are the key challenges in driving value from these collaborations? Tim Eyres - http://www.linkedin.com/in/timeyres 14 October 2009
  • 2.
    Collaborative Interactions withR&D Combinatorial chemistry Genomics Bioinformatics Crop transformation Marker assisted breeding Advanced formulation Molecular toxicology and environmental science High Throughput Screening Life Science R&D Academia Non-R&D Government Customers IT partners Research partners
  • 3.
    Challenges to CollaborativeInteractions with R&D Life Science R&D Academia Non-R&D Government Customers IT partners Research partners Security / Legal Diversity Culture Geography Technology Knowledge aggregation and discovery Accessible Structured knowledge Unstructured knowledge Data volume Real-time interactions
  • 4.
    Challenges Post R&D9 Years Discovery Development Trials & Safety Sales Relationship management Feedback Knowledge transfer Collaborative discovery Feedback stretched over time Cross domain mapping Diversity Culture Geography Technology Structured knowledge Unstructured knowledge