Data management and sharing#
Overview#
Standardised project folders facilitate data sharing and collaboration—as well as making daily life easier for researchers. This course will introduce current best-practices in neuroscience data management and recent standardisation initiatives. The primary take-away from this course will be to leave with a strong schema in mind for clean organisation of experimental project data.
NeuroBlueprint, a specification developed here at the SWC to aid
standardisation of datasets across the institute, will be covered in detail.
Familiarity with NeuroBlueprint will also be beneficial in that all analysis pipelines the Neuroinformatics Unit
develop will be designed to work with data organised to NeuroBlueprint.
We will also cover DataShuttle, a tool developed to assist in creating and transferring data organised to the NeuroBlueprint standard.
Prerequisites#
Students should bring their own laptop. For the second part of the course covering datashuttle. Python and conda / miniconda must be installed.
If you require any assistance, please contact Joe Ziminski in advance of the course.