Electronic Lab Notebook

For lab leaders, R&D operations, IT, and quality teams writing an ELN RFP or URS. Get requirements, supplier demo scenarios, and a scoring method for structured capture, search, collaboration, version history, and LIMS integration.

Explore a digital CMC blueprint that connects pharmaceutical development, technology transfer, manufacturing and quality. Learn how governed data links scientific evidence, process knowledge and decisions across the lifecycle.

Retiring a legacy ELN risks three distinct losses: mechanical, evidentiary, and semantic. This white paper separates them into a phased plan with four go or no-go gates, so you know exactly what evidence to demand before you sign.

The ELN, LIMS, and spreadsheet stack was built for a slower era. This guide sets out what leading R&D organizations are building instead, the five capabilities it enables, and the five things to evaluate before choosing a platform of your own.

Three terms, three different jobs. This guide separates what an ELN, a LIMS, and a unified platform each do, where each falls short on its own, and the signals that mean it is time to consolidate. Includes a vendor evaluation checklist.

Moving from Word and Excel to a modern electronic lab notebook, or replacing a legacy system? Download our free guide to choosing an ELN: the capabilities to assess, how to judge usability and flexibility, and how to support adoption.

How R&D teams find what was already made and measured, with every result still connected to its formulation, materials and process conditions, before they plan the next experiment.

See how Uncountable's ELN turns years of experiment write-ups into structured, queryable data, so scientists find past results in seconds, not months.

This webinar shows you how to enable end-to-end formulation and measurement capture beyond a traditional ELN system, and why supplementing your ELN with a structured data system matters.

A free open-source ELN takes the license cost to zero and moves hosting, patching, backups, integrations and support onto your own team. Here's how to compare it with an R&D platform on total cost...

Easter eggs are hidden by someone who knows exactly where they are. R&D data works the same way: every record is written for its author. Why labs rerun experiments they've already paid for, and what reusable data actually takes...

A spreadsheet-and-notebook setup that is "good enough" usually costs scientists hours every week in re-typing and report assembly. Here is where the time goes and how to count it...

Manual data entry errors rarely stay small. A mistyped unit, result, ingredient level, or sample ID can distort analysis and send R&D teams toward the wrong next experiment. Structured data reduces the errors that lead to bad decisions.

A Part 11-ready ELN needs more than an audit log and an approval button. Use this seven-point checklist to assess audit trails, access controls, e-signatures, validation evidence, retention, exports, and controlled workflows.

Most companies trash their experimental failures. Treat every experiment as a data point with a long life, and shelved work becomes valuable again.

R&D captures the data that defines a product, but that knowledge often stops at the lab. Here is why connecting your ELN, LIMS, and PLM in one data model protects traceability, speeds launches, and turns formulation work into a lasting record.

Most R&D software evaluations score features and miss traceability, the capability that survives an audit and a scale-up. This guide gives a seven-check framework for scoring ELN and LIMS on whether experimental data stays connected and audit ready.

Make historical R&D data easier to find, compare, and use. Learn how to connect ELN, LIMS, and PLM records, preserve experimental context, distinguish useful repetition from duplicate work, and prepare relevant datasets for analytics and AI.