Objective:

To assess the effectiveness and user satisfaction of electronic lab notebooks (ELNs) among scientists in biopharma R&D, CROs, clinical diagnostics, and pharmaceutical manufacturing in the US and Europe.

Key Findings:

• Only 62% of respondents feel their ELN helps them work efficiently, indicating a significant barrier to productivity.
• 5% reported being able to analyze experimental results independently using their ELN, highlighting a critical shortfall in functionality.
• 65% have repeated experiments due to difficulties in finding or reusing prior results, which directly inflates R&D costs.
• 56% find their ELN overly complex and time-consuming, suggesting a need for improved usability.
• 71% struggle with configuring ELNs to new workflows, rising to 84% in pharmaceutical manufacturing, indicating a lack of adaptability.
• 51% spend excessive time on data import/export tasks, which detracts from valuable research time.
• 45% use public generative AI tools to assist their work despite risks, reflecting a reliance on external solutions.

Interpretation:

The findings indicate that current ELNs are inadequate for supporting scientific reasoning and analysis, leading to inefficiencies that inflate R&D costs.

Limitations:

• The survey sample may not represent all scientists' experiences with ELNs, potentially skewing the results.
• Focus on specific sectors may limit generalizability of results, necessitating further research across diverse fields.

Conclusion:

Next-generation ELNs must evolve from mere record-keeping to active analytical tools, incorporating features like data interpretation and user-friendly interfaces to meet the demands of modern research.