Key Architectural Challenges In Driving Value From Life Science Collaborations

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Life science organizations face many challenges in driving value from collaborations across research and development. These challenges include issues with security, diversity, culture, geography, and managing both structured and unstructured knowledge as collaborations involve early research, late-stage development, and continue after product release with feedback over many years.

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Key Architectural Challenges In Driving Value From Life Science Collaborations

2. 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

3. 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

4. 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

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