Solutions Guide | Electronic Lab Notebooks

Download Guide: How ELNs are Shaping R&D Workflows For a More Competitive Future

Stack of whitepaper pages titled Electronic Lab Notebooks with blue and white cover by uncountable.

Looking to move from Word and Excel documents to a modern Electronic Lab Notebook? Want to replace your legacy system with a modern user interface, but not sure where to begin?
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This guide will provide you with a comprehensive reference when searching for the right ELN provider – from what a modern electronic lab notebook should look like, how it fits into your organization’s material informatics strategy, what features are available, and much more!

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Key Takeaways

What to look for in a modern Electronic Lab Notebook solution

Understand the new scope of Electronic Lab Notebooks

Features of Modern ELNs: graphing, reporting, & statistical analysis

ELN Deployment Offerings: On-Premise vs. Open-Source vs. Cloud

Questions to ask vendors before you buy

and much more

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The Benefits of Modern ELNs

Speed Up Your R&D Workflows

‍Easily connect experimental and test data at every stage across all of your R&D workflows

Centralize & Access All Your Data

Collect, store, manage, and archive all of your project data and information within one accessible and searchable repository.

Visualize & Connect Your Data

Generate advanced visualizations that automatically surface key correlations from your complex data sets

Automate & Optimize Your Discovery

Leverage cross-project learnings, predict new formulation performance, & receive optimized experiment suggestions

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Why Uncountable?

Capture all formulation and experiment data in a secure, centralized location in a single, shareable workbook in the cloud

3D surface plot and scatter plot displaying tensile strength versus Polymer 1 and Carbon Black High Grade inputs.

Collaborate on key insights and enable your scientists to quickly access key information to inform their development work

Dashboard screen showing training accuracy data and a scatter plot of predicted vs actual tensile strength.

Uncover novel relationships in your data, quickly test hypotheses, and easily present important learnings

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