Hivebench is a flexible, easy-to-use electronic lab notebook designed to fit life science workflows.

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About Hivebench

Hivebench is an easy-to-use electronic lab notebook (ELN) built by life scientists who understand the field’s workflows and pain points. Whatever your role in the lab - researcher, PI, lab manager – Hivebench’s comprehensive, consistent and structured data capture provides a simple and safe way to manage and preserve protocols and research data.

Comprehensive data capture

Enhance reproducibility by capturing information about materials, methods and results.

Consistent data capture

Standardise data description and management to optimise data storage, curation, rigour and re-use.

Structured data capture

Make it easier to follow data trails and report on data management processes, increasing transparency and accountability.

Hivebench helps life scientists to unlock the full potential of their research data

By integrating Hivebench ELN with an institutional repository, or the free data repository Mendeley Data, you can maximise the potential of your research data (see diagram below) and secure its long-term archiving. Hivebench supports compliance with data mandates and the storage of research process details, making results more transparent, reproducible and easier to store and share.

10 aspects of highly effective research data

Why use an Electronic Lab Notebook

Storing information in private files or paper notebooks poses challenges, not only for individual life scientists, but for their lab as a whole. An electronic lab notebook stores research data in a well-structured format for ease of reuse and simplifies the process of sharing and preserving information. It also structures workflows and protocols to improve experiment reproducibility.


Paper notebooks are a problem because life scientists…


Using Hivebench provides benefits because life scientists can…

  • Don't have access to protocols and data in the same place


  • Provide colleagues with continuous access to protocols and data
  • cannot bring paper into the lab
  • risk losing paper drafts
  • do not have a place to share results


  • access all data and protocols at any time
  • store the progress of their work in real-time
  • spend a lot of time writing
  • data and protocols are not in the same place
  • do not have search features
  • need to decipher notes from colleagues
  • cannot create consistency across processes


  • control who accesses their data
  • track comments and conversations
  • analyse in real time at the bench
  • need to rewrite sections of drafts
  • have to deal with data security issues
  • cannot comply with funders/FDA
  • do not have a uniform format for sharing


  • have templates to share results in a consistent way
  • comply with funder/FDA mandates
  • securely share their work
  • spend a lot of time each day on signing
  • can hide failure from PI

close (daily)

  • sign off automatically
  • preserve all data in a non-proprietary format
  • provide PIs with clear progress updates