A New Operating System for Science

Houston, TX | November 11, 2022 – DataJoint, a company that streamlines the way that neuroscientists acquire, process, and share their data, is launching what CEO Dimitri Yatsenko calls a “new operating system for science”. The new offering, DataJoint Works, vastly expands the ability of scientists to scale up experiments and take on more daring projects.

Scientists can create a personal DataJoint account to set up and manage multiple projects. To set up a project, scientists select the type of experiment, sensors, and analytical methods from DataJoint’s standard component library. Once a project is set up, scientists can invite collaborators, operate their experiment, analyze the data, and publish their results.

“DataJoint Works takes friction out of experimental neuroscience—it helps neuroscience labs simplify and scale their operations.”

– Dimitri Yatsenko, PhD, CEO

With DataJoint Works, labs can start acquiring and processing data before writing a single line of code. DataJoint automates complex computations in the cloud, so labs don’t have to worry about managing data and computing infrastructure.

DataJoint is partnering with Johns Hopkins University Applied Physics Laboratory (“APL”), in Laurel, Maryland, to integrate DataJoint Works with the broader neuroinformatics ecosystem. APL’s neuroscience team will focus on integrations with BRAIN Initiative tools and resources including DANDI Archive, Neurodata Without Borders, BossDB, and Neuroglancer.

DataJoint’s library of plug-and-play components allows science teams flexibility and reliability in setting up their experiments. These open-source components are curated from leading labs and regularly updated to support the latest developments.

DataJoint’s architecture unifies source data, computations, and results, to guarantee reproducible science. Science teams using DataJoint can trust that their research results tie back to the original data recorded in the lab.

“DataJoint helps scientists work faster with confidence, safeguarding data integrity and the reproducibility of scientific results.”

– Monty Kosma, Chief Product Officer