Evidence map›Paper›PMID 36193886›Full record

ArticleeLife2022

The Neurodata Without Borders ecosystem for neurophysiological data science.

Oliver Rübel, Andrew Tritt, Ryan Ly, Benjamin K Dichter, Satrajit Ghosh, Lawrence Niu, Pamela Baker, Ivan Soltesz, Lydia Ng, Karel Svoboda and 2 more

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

93 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. SpikeLab: Agentic tools for spike data analysis.bioRxiv : the preprint server for biology · 2026
    Article
  15. Engaging patient communities in intracranial neuroscience research.medRxiv : the preprint server for health sciences · 2026
    Article
  16. A Community Standard Multispecies Cell Atlas of the Basal Ganglia.bioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Oliver Rübel *Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, United States.ORCID https://orcid.org/0000-0001-9902-1984
Andrew Tritt *Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, United States.
Ryan Ly *Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, United States.ORCID https://orcid.org/0000-0001-9238-0642
Benjamin K Dichter *CatalystNeuro, Benicia, United States.
Satrajit Ghosh *McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, United States.ORCID https://orcid.org/0000-0002-5312-6729
Lawrence NiuMBF Bioscience, Ashburn, United States.
Pamela BakerAllen Institute for Brain Science, Seattle, United States.
Ivan SolteszDepartment of Neurosurgery, Stanford University, Stanford, United States.
Lydia NgAllen Institute for Brain Science, Seattle, United States.
Karel SvobodaAllen Institute for Brain Science, Seattle, United States.
Loren FrankJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Kristofer E BouchardScientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, United States.ORCID https://orcid.org/0000-0002-1974-4603

Funding

Towards a Complete Description of the Circuitry Underlying Sharp Wave-Mediated Memory ReplayU19NS104590 · NINDS · STANFORD UNIVERSITY · PI SOLTESZ, IVAN · 2017 to 2021
$13.2M
DANDI: Distributed Archives for Neurophysiology Data IntegrationR24MH117295 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Satrajit Sujit Ghosh, Yaroslav O Halchenko · 2019 to 2026
$11.6M
Evaluation and optimization of NWB neurophysiology software and data in the cloudU24NS120057 · NINDS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI DICHTER, BENJAMIN K, RUEBEL, OLIVER · 2021 to 2025
$5.9M
Generating a formal set of collaborative standards for sharing behavioral data and task designs to enable reproducibility in neuroscienceRF1MH120034 · NIMH · WASHINGTON UNIVERSITY · PI EDWARDS, STEPHEN ANTHONY, KEPECS, ADAM · 2019 to 2019
$2.2M
NWB:N: A Data Standard and Software Ecosystem for NeurophysiologyR24MH116922 · NIMH · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI NG, LYDIA LUP-MING, RUEBEL, OLIVER · 2018 to 2019
$2.1M
Howard Hughes Medical InstituteNIMH NIH HHS R24 MH116922NIMH NIH HHS R24 MH117295NIMH NIH HHS RF1 MH120034NINDS NIH HHS U19 NS104590NINDS NIH HHS U24 NS120057
6 · The paper itself

Abstract

The neurophysiology of cells and tissues are monitored electrophysiologically and optically in diverse experiments and species, ranging from flies to humans. Understanding the brain requires integration of data across this diversity, and thus these data must be findable, accessible, interoperable, and reusable (FAIR). This requires a standard language for data and metadata that can coevolve with neuroscience. We describe design and implementation principles for a language for neurophysiology data. Our open-source software (Neurodata Without Borders, NWB) defines and modularizes the interdependent, yet separable, components of a data language. We demonstrate NWB's impact through unified description of neurophysiology data across diverse modalities and species. NWB exists in an ecosystem, which includes data management, analysis, visualization, and archive tools. Thus, the NWB data language enables reproduction, interchange, and reuse of diverse neurophysiology data. More broadly, the design principles of NWB are generally applicable to enhance discovery across biology through data FAIRness.

Indexed as

Data ScienceEcosystemHumansMetadataNeurophysiologySoftwarearchivedata ecosystemdata languagedata standardFAIR datahumanmouseNeurophysiologyneurosciencerat

Identifiers

PMID36193886
PMCPMC9531949

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.