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ohbm / osr2020

Website for the Open Science Room at the OHBM 2020 meeting
https://ohbm.github.io/osr2020
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Open Data 2.0 (Software/process demo): Bidsme: flexible bidsifier for multimodal datasets #22

Open jsheunis opened 4 years ago

jsheunis commented 4 years ago

Bidsme: flexible bidsifier for multimodal datasets

By Nikita Beliy, Cyclotron Research Center, University of Liege, Liege, Belgium

Abstract

bidsme is a python3 bidsification tool designed to produce full, ready-to-use bids dataset. The individual data recordings are identified by the meta-data and bidsified based on user-created bidsification schema. Actually MRI (DICOM and Nifti) and EEG (BrainVision) data are supported. With object-oriented approach additional data types and formats can be easily incorporated by creating a new class with implementation of a handful of virtual functions. Tool supports plugins, allowing a large customisation of the way the bids dataset is created, from searching for meta-data from external sources to various data processing steps. Tool comes with a ready to use example datased.

Useful Links

https://github.com/CyclotronResearchCentre/bidsme https://github.com/CyclotronResearchCentre/bidsme_examples

Tagging @nbeliy

nbeliy commented 4 years ago

@jsheunis I realised that I mispelled in the title, can you please correct Bedsme to Bidsme? Sorry for truble

nbeliy commented 4 years ago

Can you please change the prase:

The object-oriented approach, so additional data types and formats can be easily incorporated by creating a new class with implementation of a handful of virtual functions.

to

With object-oriented approach additional data types and formats can be easily incorporated by creating a new class with implementation of a handful of virtual functions.

Except this everything looks ok