Keywords: Data sharing, Relational databases, Scientific workflows, Automation, Calcium imaging, Electrophysiology, Miniscope
Standardized workflows for neurophysiology experiments, managing data and automated analyses
DataJoint Elements provides an efficient approach for neuroscience labs to create and manage scientific data workflows: the complex multi-step methods for data collection, preparation, processing, analysis, and modeling that scientists must perform in the course of an experimental study. The work is derived from the developments in leading neuroscience projects and uses the open-source DataJoint framework for interfacing databases and automating computations.
* Manages data and computations for experiment workflows.
* Sharing data and computations.
* Database programming.
* Calcium imaging analysis.
* Electrophysiology analysis.
* Organizing data and computations for neurophysiology experiments end-to-end from data entry and acquisition to processing and analysis.
* Shared data pipelines in neuroscience labs and multi-lab consortia.
* International Brain Lab.
* Mesoscale Activity Project.
* Flexible concurrent access to data.
* Data consistency and integrity.
* Automated distributed computation.
* Collaborative analysis.
* Currently works only with MySQL-compatible database. Support for other database backends is planned in the future.
* Running DataJoint workflows requires configuring a database server and setting up file or object storage with access for all participants.
* Yatsenko, Dimitri, et al. “DataJoint Elements: Data Workflows for Neurophysiology.” bioRxiv (2021). doi: https://doi.org/10.1101/2021.03.30.437358.