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BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure

Authors :
Zwiers, Marcel Peter
Moia, Stefano
Oostenveld, Robert
Zwiers, Marcel Peter
Moia, Stefano
Oostenveld, Robert
Publication Year :
2022

Abstract

Published: 13 January 2022<br />Analyses of brain function and anatomy using shared neuroimaging data is an important development, and have acquired the potential to be scaled up with the specification of a new Brain Imaging Data Structure (BIDS) standard. To date, a variety of software tools help researchers in converting their source data to BIDS but often require programming skills or are tailored to specific institutes, data sets, or data formats. In this paper, we introduce BIDScoin, a cross-platform, flexible, and user-friendly converter that provides a graphical user interface (GUI) to help users finding their way in BIDS standard. BIDScoin does not require programming skills to be set up and used and supports plugins to extend their functionality. In this paper, we show its design and demonstrate how it can be applied to a downloadable tutorial data set. BIDScoin is distributed as free and open-source software to foster the community-driven effort to promote and facilitate the use of BIDS standard.

Details

Database :
OAIster
Notes :
We would like to thank Rutger van Deelen for providing the initial (PyQt) setup and implementation of the bidseditor application and Yorguin JoseĢ Mantilla Ramos for the useful architectural feedback and for the initial code of the sova2coin EEG/MEG plugin. We are also grateful for all the feedback, questions, and contributions that users have submitted on GitHub., English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1302761710
Document Type :
Electronic Resource