Data Quality costs and expectations in biotech, techbio and pharma
26 Sep 2024
Monterey
Data Quality
- How do the definitions and expectations of 'data' and 'quality' vary among computational scientists, CSOs, and project leads within biotech, techbio, and pharma organizations?
- What are the primary challenges you face in ensuring high data quality, given the different stages of the drug-discovery data lifecycle in your organization?
- How do biotech, techbio, and pharma organizations address the diverse expertise, toolchains, and practices needed to maintain data quality throughout the drug discovery process?
- What are the pain points and strategies your teams use for managing data quality across different roles and contexts within your organization?
- Given the importance of data quality for AI-powered drug discovery, how effective are the existing data quality roles and third-party solutions in meeting your organization’s needs?
Industry Expert
