Published November 11, 2025
| Version 0.20251111.1
Poster
Open
The Ecosystem of Standards in Neuroscience: Which Ones Are For You?
Authors/Creators
-
Rübel, Oliver
(Contact person)1
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Baker, Cody C.2
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Boline, Jyl3
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Bouchard, Kristofer3
- Davison, Andrew P.4
- de Vries, Saskia5
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Dichter, Ben6
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Fedorov, Andrey7
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Ghosh, Satrajit S.8
- Gillespie, Tom9
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Grethe, Jeffrey S.9
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Guittari, Nicole10
- Hatton, Sean N.9
- Johnson, Erik10
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Keator, David11
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Kennedy, David N.12
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Ly, Ryan3
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Markiewicz, Christopher J.13
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Najafi, Peyman4
- Nichols, Stephen14
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Pestilli, Franco15
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Poline, Jean-Baptiste16
- Prince, Samuel1
- Robbins, Kay A.17
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Rorden, Chris18
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Kline Struhl, Melissa8
- Tregoning, Nile E.S.10
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Tyson, Adam L.19
- Wachtler, Thomas20
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Wester, Brock10
- Yi, Helen10
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Zehl, Lyuba21
-
Zhuang, Kaiwen1
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Halchenko, Yaroslav
(Contact person)2
- 1. Lawrence Berkeley National Laboratory
- 2. Dartmouth College
- 3. Informed Minds Inc.
- 4. Université Paris-Saclay
- 5. Allen Institute for Neural Dynamics
- 6. CatalystNeuro
- 7. Brigham and Women's Hospital
- 8. Massachusetts Institute of Technology
- 9. University of California San Diego
- 10. Johns Hopkins University Applied Physics Laboratory
- 11. University of California Irvine
- 12. University of Massachusetts Chan Medical School
- 13. Stanford University
- 14. GE HealthCare
- 15. The University of Texas at Austin
- 16. McGill University
- 17. University of Texas at San Antonio
- 18. University of South Carolina
- 19. University College London
- 20. Ludwig-Maximilians-Universität München
- 21. EBRAINS AISBL
Description
The neuroscience community has witnessed a proliferation of data standards aimed at enhancing reproducibility, data sharing, and collaboration. However, this abundance creates challenges for researchers navigating which standards to adopt. This presentation provides an overview of the current ecosystem of neuroscience data standards, their interrelationships, and practical implementation guidance.
We will survey established data standards for (i) storing and transmitting data, such as DICOM for neuroimaging, NWB for neurophysiological recordings, and OME-NGFF/-Zarr for microscopy images, (ii) for managing entire study datasets, such as BIDS, (iii) modality specific additional annotation of data, such as HED, and (iv) metadata model for integration and searchability in database systems, such as openMINDS and NIDM. We will also overview related tooling interface standards, such as BIDS-Apps and Boutiques. For each standard, we will outline scope, primary data domains, implementation requirements, community adoption, extension mechanisms, and integration with other standards, analysis pipelines, and platforms.This presentation aims to demystify the neuroscience standards landscape, empowering researchers to make informed choices about data management practices that enhance scientific reproducibility and collaboration. The presentation will map relationships between these standards and major data repositories, including DANDI, EMBER, NEMAR, OpenNeuro, SPARC, EBRAINS, BRAINLIFE, GIN, and others. We will highlight how these repositories and organizations like INCF promote, extend and enforce use of standards, while discussing their critical importance to ongoing initiatives such as the Brain Behavioral Quantification and Synchronization (BBQS) and BRAIN Connectivity Across Scales (BRAIN CONNECTS). We will conclude with practical decision-making guidance for researchers to help identify which standards best suit specific research needs. Case studies will demonstrate how laboratories have successfully implemented combinations of standards to enhance their research workflows and facilitate data sharing.
Notes
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Additional details
Related works
- References
- Journal article: 10.1016/j.neuron.2021.11.017 (DOI)
- Journal article: 10.3389/fninf.2023.1276407 (DOI)
- Journal article: 10.1038/s41597-023-02614-0 (DOI)
- Journal article: 10.1162/imag_a_00103 (DOI)
- Journal article: 10.7554/eLife.78362 (DOI)
Funding
- National Institutes of Health
- BBQS AI Resource and Data Coordinating Center (BARD.CC) 1U24MH136628-01
- National Institutes of Health
- DANDI: Distributed Archives for Neurophysiology Data Integration 2R24MH117295-06
- National Institutes of Health
- Ecosystem for Multi-modal Brain-behavior Experimentation and Research (EMBER) 1R24MH136632-01
- National Institutes of Health
- OpenNeuro: An open archive for analysis and sharing of BRAIN Initiative data 2R24MH117179-06
- National Institutes of Health
- Psych-DS: A FAIR data standard for behavioral datasets 1RF1MH132747-01
- European Commission
- EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health 101147319
- National Institutes of Health
- K-CORE: Curation and Knowledge Management for SPARC 3OT2OD030541-01S5
- National Institutes of Health
- Advancing Standardization of Neurophysiology Data Through Dissemination of NWB 5U24NS120057-04
- National Institutes of Health
- Extending ezBIDS, NiiVue and dcm2niix for user-friendly cloud-based integration and visualization 1RF1MH133701-01
- National Institutes of Health
- A community-driven development of the brain imaging data standard (BIDS) to describe macroscopic brain connections 1R01MH126699-01
- National Institutes of Health
- BRAIN CONNECTS: Center for Mesoscale Connectomics 5UM1NS132207-02
- National Institutes of Health
- Boss: A cloud-based data archive for electron microscopy and x-ray microtomography 2R24MH114785-06
Subjects
- Neuroscience
- Data Science
- Research Data Management