By applying FAIR data principles, existing and historical findings can be used to inform and guide new discoveries. Such data-driven insights strengthen confidence during drug discovery, development, and materials design.
You will learn, with specific examples where FAIR data has helped advance industrial research:
- How does the chemical industry benefit from the FAIR data principles that underpin all CCDC offerings?
- How can proprietary data be made more FAIR to help advance R&D goals?
Who should attend:
- Data Scientists
- Pharmaceutical Discovery and Development Scientists
- Cheminformatics Scientists
- Digital, Data, Analytics, and Informatics teams in pharmaceutical research
- Technology and Data Science leaders in pharmaceutical research
- Materials scientists
You will learn, with specific examples where FAIR data has helped advance industrial research:
- How does the chemical industry benefit from the FAIR data principles that underpin all CCDC offerings?
- How can proprietary data be made more FAIR to help advance R&D goals?
Who should attend:
- Data Scientists
- Pharmaceutical Discovery and Development Scientists
- Cheminformatics Scientists
- Digital, Data, Analytics, and Informatics teams in pharmaceutical research
- Technology and Data Science leaders in pharmaceutical research
- Materials scientists
