Collaborative Notebook for Neuroscience
Streamline your lab's experimental data with BrainSTEM – the collaborative electronic notebook built for neuroscience. Organize experiments, analyze data, and share results seamlessly. Free to use and open to the entire neuroscience community.
About


BrainSTEM is an electronic lab notebook with a customizable web interface and a flexible data model for organizing experimental workflows and raw data.
BrainSTEM (Brain STructured Experimental Metadata) is a collaborative electronic lab notebook designed to make neuroscience data FAIR – Findable, Accessible, Interoperable, and Reusable. It supports a wide range of data types including electrophysiology, imaging, and behavior, all captured through a standardized yet flexible data model. BrainSTEM makes collaboration easy with fine-grained access control and one-click public sharing, while supporting compliance with NIH and other data-sharing mandates. Built for ease of use and adoption, it's ideal for labs of any size.
Advantages
Discover what BrainSTEM can do for your lab
BrainSTEM can accelerate your science, promote collaboration, extend the lifetime of your data, and make FAIR data sharing easy.
User-friendly
Intuitive interface – no technical setup required.
No need to install or host anything – just create an account and get started in minutes.
Standardized
Standardized yet flexible - designed for neuroscience data.
Built on a structured yet adaptable data model to capture diverse experimental data – electrophysiology, imaging, behavior, and more. Ensures interoperability and longevity while adapting to evolving lab needs.
Customizable
Adapt the platform to fit your lab's workflows.
Configure BrainSTEM to match your lab's materials, personnel, and protocols for more efficient data entry and organization.
Collaborative
Built for collaboration – within and across labs.
Share projects privately or publicly with granular access control. BrainSTEM simplifies collaborative research and supports open science mandates like those from NIH.
Programmable access
Integrates with Python, MATLAB, and your analysis pipelines.
Access your data programmatically using our API, with dedicated tools for Python and MATLAB to streamline analysis and data pipelines.
Structured & Searchable
Powerful data model – built for complex experiments.
A relational data model ensures accuracy and enables powerful metadata queries, helping you navigate and organize complex experimental data with ease.
Join the Future of Research
Help shape the next generation of BrainSTEM. As a pilot user, you'll get early knowledge of new features, direct input on development priorities, and join a community of researchers advancing open science together.
The team behind BrainSTEM
BrainSTEM is developed and funded by the Oxytocin U19 Brain Initiative Grant 5U19NS107616, led by György Buzsáki, Moses V. Chao, Robert C. Froemke, Dayu Lin, Adam Mar, Alisa R. Surkis, Richard Tsien.


Mingze Dou
MScDocumentation
Master's student at University of Copenhagen.

Rodrigo Amaducci
PhDLead developer (2021-2023)
Now: Software Developer, Majorel, Spain.
Get in touch
Have questions or feedback? We'd love to hear from you.