BrainSTEM

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.

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.

Photo of Peter Petersen
Peter Petersen
PhD

Project leader

Associate Professor at University of Copenhagen.

Photo of Alisa Surkis
Alisa Surkis
PhD

Director of the Data Core

Deputy Director at NYU Health Sciences Library.

Photo of Gyuri
György Buzsáki
MD, PhD

Principal Investigator

Biggs Professor of Neuroscience. NYU Neuroscience Institute.

Photo of Mingze
Mingze Dou
MSc

Documentation

Master's student at University of Copenhagen.

Photo of Rodrigo Amaducci
Rodrigo Amaducci
PhD

Lead developer (2021-2023)

Now: Software Developer, Majorel, Spain.

Get in touch

Have questions or feedback? We'd love to hear from you.