DataJoint Element - Session Management

element-session features a DataJoint pipeline design for session management.
element-session is not a complete workflow by itself, but rather a modular design of tables and dependencies.
element-session can be flexibly attached to any DataJoint workflow.
See the Element Session documentation for the background information and development timeline.
For more information on the DataJoint Elements project, please visit https://elements.datajoint.org. This work is supported by the National Institutes of Health.

Element architecture

pip install element-session

If you already have an older version of element-session installed using pip, upgrade with

pip install --upgrade element-session

See the workflow-calcium-imaging and workflow-array-ephys repositories for example usages of element-session.

If your work uses DataJoint and DataJoint Elements, please cite the respective Research Resource Identifiers (RRIDs) and manuscripts.
DataJoint for Python or MATLAB
- Yatsenko D, Reimer J, Ecker AS, Walker EY, Sinz F, Berens P, Hoenselaar A, Cotton RJ, Siapas AS, Tolias AS. DataJoint: managing big scientific data using MATLAB or Python. bioRxiv. 2015 Jan 1:031658. doi: https://doi.org/10.1101/031658
- DataJoint (RRID:SCR_014543) - DataJoint for <Select Python or MATLAB> (version <Enter version number>)
DataJoint Elements
- Yatsenko D, Nguyen T, Shen S, Gunalan K, Turner CA, Guzman R, Sasaki M, Sitonic D, Reimer J, Walker EY, Tolias AS. DataJoint Elements: Data Workflows for Neurophysiology. bioRxiv. 2021 Jan 1. doi: https://doi.org/10.1101/2021.03.30.437358
- DataJoint Elements (RRID:SCR_021894) - Element Session (version <Enter version number>)