From notebook to knowledge: how to specify an ELN
A modern electronic lab notebook should do more than replace a paper notebook with a digital page. It should capture experimental work in a format that is structured where structure matters, flexible where science demands it, searchable after the experiment is complete, collaborative while the work is in progress, and defensible when the record needs review. From notebook to knowledge is a handbook for the teams preparing their first serious ELN RFP or URS.
In a 2026 vendor-sponsored survey of 150 laboratory scientists, 65% had repeated experiments because previous results were difficult to find or reuse, and 71% said ELNs were difficult to configure or adapt to new workflows. A strong RFP tests whether a supplier can avoid both problems.
What should an ELN RFP or URS include?
An ELN RFP or URS should include requirements for structured data capture and template control, full-text and structured search, collaboration and risk-based review, version history, audit trails and electronic signatures, and integration with LIMS, instruments, analytics, and downstream systems. It should also cover governance, data migration, adoption, and the metrics that show the ELN is working.
Give every requirement an ID and a testable “The system shall…” statement, score supplier evidence on a 0 to 3 scale weighted by priority, and run the same five demonstration scenarios with every shortlisted supplier. A connected ELN shares identifiers with the LIMS, so a sample, its test results, and its raw data stay linked to the experiment that created them.
Who this handbook is for
Technical program owners, laboratory leaders, R&D operations teams, IT teams, scientists, and quality stakeholders preparing their first serious ELN RFP or URS.
For a one-page overview of how Uncountable approaches this, read the solution brief A fully searchable ELN.
What's inside
Inside this handbook:
- An eight-step process to build, issue, and score an ELN RFP, with a 0 to 3 score and priority weights
- Requirements for structured data capture, controlled templates, planned and actual values, and sample lineage
- Requirements for full-text, structured, and permission-aware search and retrieval
- Requirements for collaboration, risk-based review, version comparison, locking, and ownership transfer
- Requirements for audit trails, record lifecycle, electronic signatures, retention, and export
- Requirements for integration with LIMS, SDMS, instruments, analytics, and other systems
- A supplier demonstration scenario and common mistakes for each chapter
- Governance, migration, adoption, and metrics, plus a final evaluation checklist
Download the handbook to specify an ELN that becomes a durable scientific memory for your laboratory.
FAQs
From notebook to knowledge is a handbook on how to write a practical RFP or URS for an electronic lab notebook. It explains how to build and score the RFP, and which requirements to include for structured data capture, search and retrieval, collaboration and review, compliance and version history, and integration with LIMS and downstream systems, with supplier demonstration scenarios and common mistakes for each.
The handbook is for technical program owners, laboratory leaders, R&D operations teams, IT teams, scientists, and quality stakeholders preparing their first serious ELN RFP or URS.
Both. An ELN should use structured fields for materials, samples, protocols, parameters, units, conditions, results, calculations, and decisions, so they can be searched, compared, and reused. It should keep free text for hypotheses, observations, unexpected events, interpretation, and scientific judgment. An ELN that is too unstructured is hard to search, and one that is too rigid pushes work outside the system.
An ELN RFP or URS should include requirements for structured data capture and controlled templates, full-text, structured, and permission-aware search, collaboration and configurable review, version history, audit trails, electronic signatures, retention and export, and integration with LIMS, SDMS, instruments, analytics, and other systems, plus governance, data migration, and adoption measures.
Score each requirement from 0 to 3: 0 for unavailable or no evidence, 1 for custom work or a material gap, 2 for configuration or partner work, and 3 for demonstrated with evidence and clear ownership. Multiply the score by a priority weight of 4 for mandatory, 3 for high priority, and 2 for desirable, and run the same five demonstration scenarios with every shortlisted supplier.
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