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Open platform for analyzing and sharing neuroimaging data from human brain imaging research studies. Brain Imaging Data Structure ( BIDS) compliant database. Formerly known as OpenfMRI. Data archives to hold magnetic resonance imaging data. Platform for sharing MRI, MEG, EEG, iEEG, and ECoG data.
Proper citation: OpenNeuro (RRID:SCR_005031) Copy
https://bids-matlab.readthedocs.io/en/latest/
Software MATLAB/Octave tools to interact with datasets conforming to Brain Imaging Data Structure format.
Proper citation: BIDS-Matlab (RRID:SCR_022292) Copy
https://github.com/mne-tools/mne-bids/
Software Python package to link Brain Imaging Data Structure and MNE-Python software for analyzing neurophysiology data with goal to make analyses faster to code, more robust to errors, and easily shareable with colleagues. Provides programmable interface for BIDS datasets in electrophysiology with MNE-Python. Used for organizing electrophysiological data into BIDS format and facilitating their analysis.
Proper citation: MNE-BIDS (RRID:SCR_018766) Copy
SPARC data repository as of 2023 is an open data repository developed as part of the NIH SPARC initiative and has been used by SPARC funded investigator groups to curate and publish high quality datasets related to the autonomic nervous system. We are thrilled that as of August 2022, SPARC is accepting datasets from investigators that are not funded through the NIH SPARC program. The NIH's Common Fund Stimulating Peripheral Activity to Relieve Conditions (SPARC) program aims to transform our understanding of these nerve-organ interactions and ultimately advance neuromodulation field toward precise treatment of diseases and conditions for which conventional therapies fall short.
Proper citation: SPARC Portal (RRID:SCR_017041) Copy
https://fairsharing.org/collections/
Web-based, searchable portal of three interlinked registries, containing both in-house and crowdsourced manually curated descriptions of standards, databases and data policies, combined with integrated view across all three types of resource. By registering your resource on FAIRsharing, you gain credit for your work, increase its visibility outside of your direct domain, reduce potential for unnecessary reinvention and proliferation of standards and databases.
Proper citation: FAIRsharing (RRID:SCR_004177) Copy
https://www.incf.org/sparc-data-structure
SPARC data structure is consistent file structure and naming convention, based on the Brain Imaging Data Structure (BIDS) to ensure that the diverse types of data in SPARC is organized in similar manner.
Proper citation: SPARC Data Standard (RRID:SCR_027028) Copy
https://nipoppy.readthedocs.io/en/stable/
Software lightweight Python framework and command-line tool for organizing, processing, and managing neuroimaging-clinical datasets, designed to make studies more reproducible and adhere to FAIR data principles (Findable, Accessible, Interoperable, Reusable). Provides standardized workflow to handle raw data (like DICOMs), apply containerized processing pipelines (e.g., fMRIPrep), extract analysis-ready features (IDPs), and track processing status, extending the Brain Imaging Data Structure (BIDS) standard for both imaging and clinical data. Includes three components: protocol for data wrangling to standardize generation of analysis-ready datasets; specification for dataset organization that extends the Brain Imaging Data Structure (BIDS) standard; command-line interface and Python package that provide user-friendly tools for applying the framework.
Proper citation: NiPoppy (RRID:SCR_027826) Copy
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