Poldrack Russell A, Markiewicz Christopher J, Appelhoff Stefan, Ashar Yoni K, Auer Tibor, Baillet Sylvain, Bansal Shashank, Beltrachini Leandro, Benar Christian G, Bertazzoli Giacomo, Bhogawar Suyash, Blair Ross W, Bortoletto Marta, Boudreau Mathieu, Brooks Teon L, Calhoun Vince D, Castelli Filippo Maria, Clement Patricia, Cohen Alexander L, Cohen-Adad Julien, D'Ambrosio Sasha, de Hollander Gilles, de la Iglesia-Vayá María, de la Vega Alejandro, Delorme Arnaud, Devinsky Orrin, Draschkow Dejan, Duff Eugene Paul, DuPre Elizabeth, Earl Eric, Esteban Oscar, Feingold Franklin W, Flandin Guillaume, Galassi Anthony, Gallitto Giuseppe, Ganz Melanie, Gau Rémi, Gholam James, Ghosh Satrajit S, Giacomel Alessio, Gillman Ashley G, Gleeson Padraig, Gramfort Alexandre, Guay Samuel, Guidali Giacomo, Halchenko Yaroslav O, Handwerker Daniel A, Hardcastle Nell, Herholz Peer, Hermes Dora, Honey Christopher J, Innis Robert B, Ioanas Horea-Ioan, Jahn Andrew, Karakuzu Agah, Keator David B, Kiar Gregory, Kincses Balint, Laird Angela R, Lau Jonathan C, Lazari Alberto, Legarreta Jon Haitz, Li Adam, Li Xiangrui, Love Bradley C, Lu Hanzhang, Marcantoni Eleonora, Maumet Camille, Mazzamuto Giacomo, Meisler Steven L, Mikkelsen Mark, Mutsaerts Henk, Nichols Thomas E, Nikolaidis Aki, Nilsonne Gustav, Niso Guiomar, Norgaard Martin, Okell Thomas W, Oostenveld Robert, Ort Eduard, Park Patrick J, Pawlik Mateusz, Pernet Cyril R, Pestilli Franco, Petr Jan, Phillips Christophe, Poline Jean-Baptiste, Pollonini Luca, Raamana Pradeep Reddy, Ritter Petra, Rizzo Gaia, Robbins Kay A, Rockhill Alexander P, Rogers Christine, Rokem Ariel, Rorden Chris, Routier Alexandre, Saborit-Torres Jose Manuel, Salo Taylor, Schirner Michael, Smith Robert E, Spisak Tamas, Sprenger Julia, Swann Nicole C, Szinte Martin, Takerkart Sylvain, Thirion Bertrand, Thomas Adam G, Torabian Sajjad, Varoquaux Gael, Voytek Bradley, Welzel Julius, Wilson Martin, Yarkoni Tal, Gorgolewski Krzysztof J
Department of Psychology, Stanford University, Stanford, CA, United States.
Max Planck Institute for Human Development, Berlin, Germany.
Imaging Neurosci (Camb). 2024 Mar 8;2:1-19. doi: 10.1162/imag_a_00103. eCollection 2024 Mar 1.
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some of the challenges being addressed as it evolves. We also discuss the lessons learned through the project, with the aim of enabling researchers in other domains to learn from the success of BIDS.
脑成像数据结构（BIDS）是一个由社区推动的标准，用于组织来自越来越多神经科学模态的数据和元数据。本文旨在讲述该标准随时间的发展历程。我们概述了该项目背后的原则、其扩展机制以及在发展过程中面临的一些挑战。我们还讨论了从该项目中吸取的经验教训，目的是使其他领域的研究人员能够从BIDS的成功中学习。
