standards > model/format > DOI:10.25504/FAIRsharing.rd1j6t
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ready Brain Imaging Data Structure

Abbreviation: BIDS


General Information
BIDS is a simple, easy to use standard for organizing and describing outputs of neuroimaging experiments.

Homepage http://bids.neuroimaging.io

Countries that developed this resource Canada , France , Germany , Sweden , United Kingdom , United States

Created in 2015

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Knowledge Domains 

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How to cite this record FAIRsharing.org: BIDS; Brain Imaging Data Structure; DOI: https://doi.org/10.25504/FAIRsharing.rd1j6t; Last edited: June 26, 2019, 8:40 p.m.; Last accessed: Sep 29 2021 3:07 a.m.

Publication for citation  The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Gorgolewski KJ,Auer T,Calhoun VD,Craddock RC,Das S,Duff EP,Flandin G,Ghosh SS,Glatard T,Halchenko YO,Handwerker DA,Hanke M,Keator D,Li X,Michael Z,Maumet C,Nichols BN,Nichols TE,Pellman J,Poline JB,Rokem A,Schaefer G,Sochat V,Triplett W,Turner JA,Varoquaux G,Poldrack RA; Sci Data ; 2016; 10.1038/sdata.2016.44;


This record is maintained by sappelhoff

Record added: Dec. 22, 2015, 5:23 p.m.
Record updated: June 26, 2019, 4:14 a.m. by ChrisFilo.

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Additional Information



Schemas

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Publications

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.

Gorgolewski KJ,Alfaro-Almagro F,Auer T,Bellec P,Capota M,Chakravarty MM,Churchill NW,Cohen AL,Craddock RC,Devenyi GA,Eklund A,Esteban O,Flandin G,Ghosh SS,Guntupalli JS,Jenkinson M,Keshavan A,Kiar G,Liem F,Raamana PR,Raffelt D,Steele CJ,Quirion PO,Smith RE,Strother SC,Varoquaux G,Wang Y,Yarkoni T,Poldrack RA
PLoS Comput Biol 2017

View Paper (PubMed) View Publication

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

Gorgolewski KJ,Auer T,Calhoun VD,Craddock RC,Das S,Duff EP,Flandin G,Ghosh SS,Glatard T,Halchenko YO,Handwerker DA,Hanke M,Keator D,Li X,Michael Z,Maumet C,Nichols BN,Nichols TE,Pellman J,Poline JB,Rokem A,Schaefer G,Sochat V,Triplett W,Turner JA,Varoquaux G,Poldrack RA
Sci Data 2016

View Paper (PubMed) View Publication

MEG-BIDS, the brain imaging data structure extended to magnetoencephalography.

Niso G,Gorgolewski KJ,Bock E,Brooks TL,Flandin G,Gramfort A,Henson RN,Jas M,Litvak V,T Moreau J,Oostenveld R,Schoffelen JM,Tadel F,Wexler J,Baillet S
Sci Data 2018

View Paper (PubMed) View Publication

EEG-BIDS, an extension to the brain imaging data structure for electroencephalography

Cyril R. Pernet, Stefan Appelhoff, Krzysztof J. Gorgolewski, Guillaume Flandin, Christophe Phillips, Arnaud Delorme & Robert Oostenveld
Scientific Datavolume 2019

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iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology

Christopher Holdgraf, Stefan Appelhoff, Stephan Bickel, Kristofer Bouchard, Sasha D’Ambrosio, Olivier David, Orrin Devinsky, Benjamin Dichter, Adeen Flinker, Brett L. Foster, Krzysztof J. Gorgolewski, Iris Groen, David Groppe, Aysegul Gunduz, Liberty Hamilton, Christopher J. Honey, Mainak Jas, Robert Knight, Jean-Philippe Lachaux, Jonathan C. Lau, Christopher Lee-Messer, Brian N. Lundstrom, Kai J. Miller, Jeffrey G. Ojemann, Robert Oostenveld, Natalia Petridou, Gio Piantoni, Andrea Pigorini, Nader Pouratian, Nick F. Ramsey, Arjen Stolk, Nicole C. Swann, François Tadel, Bradley Voytek, Brian A. Wandell, Jonathan Winawer, Kirstie Whitaker, Lyuba Zehl & Dora Hermes
Scientific Data 2019

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Related Databases (8)
OpenNeuro
The OpenNeuro project (formerly known as the OpenfMRI project) was established in 2010 to provide a resource for researchers interested in making their neuroimaging data openly available to the research community. It is managed by Russ Poldrack and Chris Gorgolewski of the Center for Reproducible Neuroscience at Stanford University. The project has been developed with funding from the National Science Foundation, National Institute of Drug Abuse, and the Laura and John Arnold Foundation.

Donders Repository
The Donders Institute for Brain, Cognition and Behavior at the Radboud University created the Donders Repository for archiving, preserving and sharing the research data generated and processed at the institute.

brainlife
Brainlife is an open, online platform that provides seamless access to cloud computing infrastructure and brain data and data derivatives. It aims to address challenges to neuroscience open sharing and reproducibility by providing integrative mechanisms for publishing data, and algorithms while embedding them with computing resources to impact multiple scientific communities. Brainlife is intended for neuroscientists, computer scientists, statisticians, and engineers interested in brain data to use the data or develop and publish their analysis methods.

Brainbase
Brainbase is a data management, collaboration and sharing platform for the human neuroscience community. The platform provides private research collaboration workspaces, tools to flexibly organize and track subjects and sessions within studies, validation tools to check that metadata and datasets are complete and public sharing tools. Publicly shared data is searchable. FAIRsharing has marked this record as Uncertain because the homepage for Brainbase (https://brainbase.io) now sits behind a login screen, and therefore we cannot accurately assess the status of the resource. If you have any information on this resource, please get in touch.

EBRAINS
EBRAINS is a platform for sharing brain research data ranging in type as well as spatial and temporal scale. The EBRAINS data curation service aims to provide maximum impact, visibility, reusability, and longevity. The user interface of the EBRAINS Knowledge Graph allows you to easily find data of interest. EBRAINS hosts a wide range of data types and models from different species. All data are well described and can be accessed immediately for further analysis.

National Institute of Mental Health Data Archive
The National Institute of Mental Health Data Archive (NDA), originally established to support autism research, is an informatics platform and data repository that facilitates data sharing across all of mental health and other research communities, combining data from each of these repositories into a single resource with a single process for gaining access to all shared data. While querying and browsing data is publicly available, all subject-level data is available behind a login.

Neuroimaging Informatics Tools and Resources Collaboratory Image Repository
The Neuroimaging Informatics Tools and Resources Collaboratory Image Repository (NITRC-IR) provides searchable and downloadable publicly available data sets for neuroimaging research. This includes thousands of DICOM, NIfTI and BIDS normal subjects and those with diagnoses such as schizophrenia, ADHD, autism, and Parkinson's. NITRC’s scientific focus includes: MR, PET/SPECT, CT, EEG/MEG, optical imaging, clinical neuroimaging, computational neuroscience, and imaging genomics software tools, data, and computational resources.

DANDI: Distributed Archives for Neurophysiology Data Integration
The BRAIN Initiative archive for publishing and sharing cellular neurophysiology data including electrophysiology, optophysiology, and behavioral time-series, and images from immunostaining experiments.

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Grant Number(s)

  • R24-MH114705 (National Institute of Mental Health (NIMH), Bethesda, MD, USA)