{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T00:50:42Z","timestamp":1792457442015,"version":"4.5.0"},"reference-count":75,"publisher":"eLife Sciences Publications, Ltd","license":[{"start":{"date-parts":[[2022,10,4]],"date-time":"2022-10-04T00:00:00Z","timestamp":1664841600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2022,10,4]],"date-time":"2022-10-04T00:00:00Z","timestamp":1664841600000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2022,10,4]],"date-time":"2022-10-04T00:00:00Z","timestamp":1664841600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100001201","name":"Kavli Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100001201","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["R24MH116922"],"award-info":[{"award-number":["R24MH116922"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000011","name":"Howard Hughes Medical Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000011","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100002336","name":"Simmons Family Foundation","doi-asserted-by":"publisher","award":["521921"],"award-info":[{"award-number":["521921"]}],"id":[{"id":"10.13039\/100002336","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["1R24MH117295-01A1"],"award-info":[{"award-number":["1R24MH117295-01A1"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["U19-NS104590"],"award-info":[{"award-number":["U19-NS104590"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Weill Neurohub"}],"content-domain":{"domain":["elifesciences.org"],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2022,5,13]]},"abstract":"<jats:p>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\u2019s 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.<\/jats:p>","DOI":"10.7554\/elife.78362","type":"journal-article","created":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T07:15:18Z","timestamp":1652685318000},"update-policy":"https:\/\/doi.org\/10.7554\/elife.78362","source":"Crossref","is-referenced-by-count":166,"title":["The Neurodata Without Borders ecosystem for neurophysiological data science"],"prefix":"10.7554","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9902-1984","authenticated-orcid":true,"given":"Oliver","family":"R\u00fcbel","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02jbv0t02","id-type":"ROR","asserted-by":"publisher"}],"name":"Scientific Data Division, Lawrence Berkeley National Laboratory","place":["Berkeley, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"Tritt","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02jbv0t02","id-type":"ROR","asserted-by":"publisher"}],"name":"Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory","place":["Berkeley, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9238-0642","authenticated-orcid":true,"given":"Ryan","family":"Ly","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02jbv0t02","id-type":"ROR","asserted-by":"publisher"}],"name":"Scientific Data Division, Lawrence Berkeley National Laboratory","place":["Berkeley, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin K","family":"Dichter","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01d74sk53","id-type":"ROR","asserted-by":"publisher"}],"name":"CatalystNeuro","place":["Benicia, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5312-6729","authenticated-orcid":true,"given":"Satrajit","family":"Ghosh","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/042nb2s44","id-type":"ROR","asserted-by":"publisher"}],"name":"McGovern Institute for Brain Research, Massachusetts Institute of Technology","place":["Cambridge, United States"]},{"id":[{"id":"https:\/\/ror.org\/03vek6s52","id-type":"ROR","asserted-by":"publisher"}],"name":"Department of Otolaryngology - Head and Neck Surgery, Harvard Medical School","place":["Boston, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lawrence","family":"Niu","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02zynam48","id-type":"ROR","asserted-by":"publisher"}],"name":"MBF Bioscience","place":["Ashburn, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pamela","family":"Baker","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00dcv1019","id-type":"ROR","asserted-by":"publisher"}],"name":"Allen Institute for Brain Science","place":["Seattle, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ivan","family":"Soltesz","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00f54p054","id-type":"ROR","asserted-by":"publisher"}],"name":"Department of Neurosurgery, Stanford University","place":["Stanford, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lydia","family":"Ng","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00dcv1019","id-type":"ROR","asserted-by":"publisher"}],"name":"Allen Institute for Brain Science","place":["Seattle, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karel","family":"Svoboda","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00dcv1019","id-type":"ROR","asserted-by":"publisher"}],"name":"Allen Institute for Brain Science","place":["Seattle, United States"]},{"id":[{"id":"https:\/\/ror.org\/013sk6x84","id-type":"ROR","asserted-by":"publisher"}],"name":"Janelia Research Campus, Howard Hughes Medical Institute","place":["Ashburn, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Loren","family":"Frank","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/013sk6x84","id-type":"ROR","asserted-by":"publisher"}],"name":"Janelia Research Campus, Howard Hughes Medical Institute","place":["Ashburn, United States"]},{"id":[{"id":"https:\/\/ror.org\/032h4fk17","id-type":"ROR","asserted-by":"publisher"}],"name":"Kavli Institute for Fundamental Neuroscience","place":["San Francisco, United States"]},{"id":[{"id":"https:\/\/ror.org\/043mz5j54","id-type":"ROR","asserted-by":"publisher"}],"name":"Departments of Physiology and Psychiatry University of California, San Francisco","place":["San Francisco, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1974-4603","authenticated-orcid":true,"given":"Kristofer E","family":"Bouchard","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02jbv0t02","id-type":"ROR","asserted-by":"publisher"}],"name":"Scientific Data Division, Lawrence Berkeley National Laboratory","place":["Berkeley, United States"]},{"id":[{"id":"https:\/\/ror.org\/032h4fk17","id-type":"ROR","asserted-by":"publisher"}],"name":"Kavli Institute for Fundamental Neuroscience","place":["San Francisco, United States"]},{"id":[{"id":"https:\/\/ror.org\/02jbv0t02","id-type":"ROR","asserted-by":"publisher"}],"name":"Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory","place":["Berkeley, United States"]},{"id":[{"id":"https:\/\/ror.org\/01an7q238","id-type":"ROR","asserted-by":"publisher"}],"name":"Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience, University of California, Berkeley","place":["Berkeley, United States"]},{"name":"Weill Neurohub","place":["Berkeley, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4374","published-online":{"date-parts":[[2022,10,4]]},"reference":[{"key":"bib1","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.2222295","article-title":"calciumImagingAnalysis (ciapkg): a software package for analyzing one- and two-photon calcium imaging datasets","volume-title":"Zenodo","author":"Ahanonu","year":"2018","unstructured":"Ahanonu B. 2018. calciumImagingAnalysis (ciapkg): a software package for analyzing one- and two-photon calcium imaging datasets. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.2222295."},{"key":"bib2","article-title":"BRAIN 2025: a scientific vision","volume-title":"BRAIN Research through Advancing Innovative Neurotechnologies (BRAIN) Working Group Report to the Advisory Committee to the Director, NIH","author":"Bargmann","year":"2014","unstructured":"Bargmann C. 2014. BRAIN 2025: a scientific vision. BRAIN Research through Advancing Innovative Neurotechnologies (BRAIN) Working Group Report to the Advisory Committee to the Director, NIH."},{"key":"bib3","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.18566","article-title":"Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit","volume":"5","author":"Bezaire","year":"2016","journal-title":"eLife"},{"key":"bib4","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1038\/nature11911","article-title":"Functional organization of human sensorimotor cortex for speech articulation","volume":"495","author":"Bouchard","year":"2013","journal-title":"Nature"},{"key":"bib5","doi-asserted-by":"publisher","first-page":"628","DOI":"10.1016\/j.neuron.2016.10.035","article-title":"High-performance computing in neuroscience for data-driven discovery, integration, and dissemination","volume":"92","author":"Bouchard","year":"2016","journal-title":"Neuron"},{"key":"bib6","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/MC.2018.2141039","article-title":"International neuroscience initiatives through the lens of high-performance computing","volume":"51","author":"Bouchard","year":"2018","journal-title":"Computer"},{"key":"bib7","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/S0168-9002(97)00048-X","article-title":"ROOT \u2014 An object oriented data analysis framework","volume":"389","author":"Brun","year":"1997","journal-title":"Nuclear Instruments and Methods in Physics Research Section A"},{"key":"bib8","doi-asserted-by":"publisher","DOI":"10.1101\/796599","article-title":"SpikeInterface, a Unified Framework for Spike Sorting","volume-title":"bioRxiv","author":"Buccino","year":"2019"},{"key":"bib9","article-title":"M-13-13 - Open Data Policy-Managing Information as an Asset","volume-title":"M-13-13","author":"Burwell","year":"2022","unstructured":"Burwell S, VanRoekel S, Park T, Mancini D. 2022. M-13-13 - Open Data Policy-Managing Information as an Asset. M-13-13."},{"key":"bib10","article-title":"nwb-explorer","volume-title":"Github","author":"Cantarelli","year":"2022","unstructured":"Cantarelli M, Idili G, Ledda F, Facundo R, Pinto A, Gleeson P. 2022. nwb-explorer. Github. v0.6.2. https:\/\/github.com\/MetaCell\/nwb-explorer."},{"key":"bib11","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-0415-9","article-title":"A NWB-based dataset and processing pipeline of human single-neuron activity during A declarative memory task","volume":"7","author":"Chandravadia","year":"2020","journal-title":"Scientific Data"},{"key":"bib12","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.neuron.2018.11.002","article-title":"High-density, long-lasting, and multi-region electrophysiological recordings using polymer electrode arrays","volume":"101","author":"Chung","year":"2019","journal-title":"Neuron"},{"key":"bib13","article-title":"Data Archive BRAIN Initiative","volume-title":"Usc.Edu DL","author":"DABI","year":"2022","unstructured":"DABI. 2022. Data Archive BRAIN Initiative. Usc.Edu DL. https:\/\/dabi.loni.usc.edu\/home."},{"key":"bib14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1007696","article-title":"The SONATA data format for efficient description of large-scale network models","volume":"16","author":"Dai","year":"2020","journal-title":"PLOS Computational Biology"},{"key":"bib15","article-title":"DANDI: Distributed Archives for Neurophysiology Data Integration","volume-title":"Github","author":"DANDI","year":"2022","unstructured":"DANDI. 2022. DANDI: Distributed Archives for Neurophysiology Data Integration. Github. v0.7.0. https:\/\/github.com\/dandi."},{"key":"bib16","volume-title":"The Origin of Species","author":"Darwin","year":"1909"},{"key":"bib17","article-title":"NetCDF Climate and Forecast (CF) metadata conventions","volume-title":"NetCDF","author":"Eaton","year":"2003","unstructured":"Eaton B. 2003. NetCDF Climate and Forecast (CF) metadata conventions. NetCDF."},{"key":"bib18","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1016\/j.neuron.2021.11.017","article-title":"International data governance for neuroscience","volume":"110","author":"Eke","year":"2022","journal-title":"Neuron"},{"key":"bib19","article-title":"Electrophysiology Stimulation Ontology Working Group","volume-title":"Incf","author":"Electrophysiology Stimulation Ontology Working Group","year":"2022","unstructured":"Electrophysiology Stimulation Ontology Working Group. 2022. Electrophysiology Stimulation Ontology Working Group. Incf. https:\/\/www.incf.org\/sig\/electrophysiology-stimulation-ontology-working-group."},{"key":"bib20","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2014.00010","article-title":"Neo: an object model for handling electrophysiology data in multiple formats","volume":"8","author":"Garcia","year":"2014","journal-title":"Frontiers in Neuroinformatics"},{"key":"bib21","article-title":"Project information - NIH RePORTER - NIH research portfolio online reporting tools expenditures and results","volume-title":"NIH Research Portfolio Online Reporting Tools Expenditures and Results","author":"Generator","year":"2022","unstructured":"Generator M. 2022. Project information - NIH RePORTER - NIH research portfolio online reporting tools expenditures and results. NIH Research Portfolio Online Reporting Tools Expenditures and Results."},{"key":"bib22","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.38173","article-title":"CaImAn an open source tool for scalable calcium imaging data analysis","volume":"8","author":"Giovannucci","year":"2019","journal-title":"eLife"},{"key":"bib23","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/j.neuron.2019.05.019","article-title":"Open source brain: a collaborative resource for visualizing, analyzing, simulating, and developing standardized models of neurons and circuits","volume":"103","author":"Gleeson","year":"2019","journal-title":"Neuron"},{"key":"bib24","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.44","article-title":"The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments","volume":"3","author":"Gorgolewski","year":"2016","journal-title":"Scientific Data"},{"key":"bib25","doi-asserted-by":"publisher","DOI":"10.12688\/f1000research.12344.2","article-title":"Best practice data life cycle approaches for the life sciences","volume":"6","author":"Griffin","year":"2017","journal-title":"F1000Research"},{"key":"bib26","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1051\/0004-6361:20010923","article-title":"Definition of the flexible image transport system (FITS","volume":"376","author":"Hanisch","year":"2001","journal-title":"Astronomy & Astrophysics"},{"key":"bib27","article-title":"Hierarchical data modeling framework [ source ]","volume-title":"Github","author":"HDMF-a","year":"2021","unstructured":"HDMF-a. 2021. Hierarchical data modeling framework [ source ]. Github. 2010de6. https:\/\/github.com\/hdmf-dev\/hdmf."},{"key":"bib28","article-title":"The hierarchical data modeling framework \u2013 HDMF 2.3.0 documentation","volume-title":"Readthedocs","author":"HDMF-b","year":"2022","unstructured":"HDMF-b. 2022. The hierarchical data modeling framework \u2013 HDMF 2.3.0 documentation. Readthedocs. 56c6284. https:\/\/hdmf.readthedocs.io."},{"key":"bib29","article-title":"Hierarchical data modeling framework","volume-title":"Github","author":"HDMF-c","year":"2022","unstructured":"HDMF-c. 2022. Hierarchical data modeling framework. Github. 0.1. https:\/\/github.com\/hdmf-dev."},{"key":"bib30","article-title":"Hdmf-common-schema","volume-title":"Github","author":"hdmf-common-schema-a","year":"2022","unstructured":"hdmf-common-schema-a. 2022. Hdmf-common-schema. Github. b3e48fc. https:\/\/github.com\/hdmf-dev\/hdmf-common-schema."},{"key":"bib31","article-title":"Welcome to the HDMF-common format specification \u2014 HDMF-common specification v1.3.0 documentation","volume-title":"Readthedocs","author":"hdmf-common-schema-b","year":"2022","unstructured":"hdmf-common-schema-b. 2022. Welcome to the HDMF-common format specification \u2014 HDMF-common specification v1.3.0 documentation. Readthedocs. 1.3.0. https:\/\/hdmf-common-schema.readthedocs.io."},{"key":"bib32","article-title":"HDMF","volume-title":"Github","author":"HDMF-dev","year":"2021","unstructured":"HDMF-dev. 2021. HDMF. Github. 2010de6. https:\/\/hdmf-dev.github.io\/."},{"key":"bib33","article-title":"Hdmf-docutils","volume-title":"Github","author":"hdmf-docutils","year":"2022","unstructured":"hdmf-docutils. 2022. Hdmf-docutils. Github. 8a414db. https:\/\/github.com\/hdmf-dev\/hdmf-docutils."},{"key":"bib34","article-title":"Hdmf-schema-language","volume-title":"Github","author":"hdmf-schema-language","year":"2022","unstructured":"hdmf-schema-language. 2022. Hdmf-schema-language. Github. 376bad4. https:\/\/github.com\/hdmf-dev\/hdmf-schema-language."},{"key":"bib35","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-019-0105-7","article-title":"iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology","volume":"6","author":"Holdgraf","year":"2019","journal-title":"Scientific Data"},{"key":"bib36","doi-asserted-by":"publisher","DOI":"10.1101\/788802","article-title":"Relationship between simultaneously recorded spiking activity and fluorescence signal in GCaMP6 transgenic mice","volume":"10","author":"Huang","year":"2020","journal-title":"Cold Spring Harbor Laboratory"},{"key":"bib37","doi-asserted-by":"publisher","DOI":"10.1101\/2021.03.24.436279","article-title":"Fast and Statistically Robust Cell Extraction from Large-Scale Neural Calcium Imaging Datasets","volume-title":"bioRxiv","author":"Inan","year":"2021"},{"key":"bib38","article-title":"Neurodata Without Borders: Neurophysiology (NWB:N)","author":"INCF Training","year":"2022","unstructured":"INCF Training. 2022. Neurodata Without Borders: Neurophysiology (NWB:N). https:\/\/training.incf.org\/collection\/neurodata-without-borders-neurophysiology-nwbn [Accessed May 13, 2022]."},{"key":"bib39","article-title":"Welcome to intrinsic physiology feature extractor (IPFX)","volume-title":"IPFX","author":"IPFX","year":"2021","unstructured":"IPFX. 2021. Welcome to intrinsic physiology feature extractor (IPFX). IPFX. https:\/\/ipfx.readthedocs.io\/."},{"key":"bib40","volume-title":"Principles of Neural Science","author":"Kandel","year":"2013"},{"key":"bib41","doi-asserted-by":"publisher","DOI":"10.1101\/800102","article-title":"On the Correspondence of Electrical and Optical Physiology in in Vivo Population-Scale Two-Photon Calcium Imaging","volume-title":"bioRxiv","author":"Ledochowitsch","year":"2019"},{"key":"bib42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117341","article-title":"RAVE: Comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data","volume":"223","author":"Magnotti","year":"2020","journal-title":"NeuroImage"},{"key":"bib43","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-20936-8","article-title":"Mouse entorhinal cortex encodes a diverse repertoire of self-motion signals","volume":"12","author":"Mallory","year":"2021","journal-title":"Nature Communications"},{"key":"bib44","doi-asserted-by":"publisher","DOI":"10.7490\/f1000research.1117858.1","article-title":"Neuroscience information exchange format","volume":"9","author":"Martone","year":"2020","journal-title":"F1000Research"},{"key":"bib45","article-title":"matnwb","volume-title":"Github","author":"matnwb","year":"2021","unstructured":"matnwb. 2021a. matnwb. Github. https:\/\/neurodatawithoutborders.github.io\/matnwb\/."},{"key":"bib46","article-title":"mtatnwb","volume-title":"Github","author":"matnwb","year":"2021","unstructured":"matnwb. 2021b. mtatnwb. Github. https:\/\/github.com\/NeurodataWithoutBorders\/matnwb."},{"key":"bib47","article-title":"MIES","volume-title":"Github","author":"MIES","year":"2022","unstructured":"MIES. 2022. MIES. Github. https:\/\/github.com\/AllenInstitute\/MIES."},{"key":"bib48","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-019-0242-z","article-title":"Integrated open-source software for multiscale electrophysiology","volume":"6","author":"Nasiotis","year":"2019","journal-title":"Scientific Data"},{"key":"bib49","article-title":"Neurodata Extensions Catalog","volume-title":"Github","author":"NDXCatalog-a","year":"2022","unstructured":"NDXCatalog-a. 2022. Neurodata Extensions Catalog. Github. https:\/\/nwb-extensions.github.io."},{"key":"bib50","article-title":"NWB Extension Catalog","volume-title":"Github","author":"NDXCatalog-b","year":"2021","unstructured":"NDXCatalog-b. 2021. NWB Extension Catalog. Github. https:\/\/github.com\/nwb-extensions."},{"key":"bib51","article-title":"Ndx-template","volume-title":"Github","author":"NDXtemplate","year":"2022","unstructured":"NDXtemplate. 2022. Ndx-template. Github. https:\/\/github.com\/nwb-extensions\/ndx-template."},{"key":"bib52","article-title":"Neurodata Without Borders","volume-title":"Github","author":"Neurodata Without Borders","year":"2022","unstructured":"Neurodata Without Borders. 2022. Neurodata Without Borders. Github. https:\/\/github.com\/NeurodataWithoutBorders."},{"key":"bib53","article-title":"Notice of Data Sharing Policy for the BRAIN Initiative","volume-title":"NOT-MH-19-010","author":"NOT-MH-19-010","year":"2021","unstructured":"NOT-MH-19-010. 2021. Notice of Data Sharing Policy for the BRAIN Initiative. NOT-MH-19-010. https:\/\/grants.nih.gov\/grants\/guide\/notice-files\/NOT-MH-19-010.html."},{"key":"bib54","article-title":"nwb-jupyter-widgets","volume-title":"Github","author":"nwb-jupyter-widgets","year":"2022","unstructured":"nwb-jupyter-widgets. 2022. nwb-jupyter-widgets. Github. https:\/\/github.com\/NeurodataWithoutBorders\/nwb-jupyter-widgets."},{"key":"bib55","article-title":"Join the NWB Mailing List","author":"NWB Mailing List","year":"2021","unstructured":"NWB Mailing List. 2021. Join the NWB Mailing List. https:\/\/mailchi.mp\/fe2a9bc55a1a\/nwb-signup [Accessed May 13, 2022]."},{"key":"bib56","article-title":"nwb-schema","volume-title":"Github","author":"NWB Schema-a","year":"2022","unstructured":"NWB Schema-a. 2022. nwb-schema. Github. https:\/\/github.com\/NeurodataWithoutBorders\/nwb-schema."},{"key":"bib57","article-title":"Welcome to the NWB format specification \u2014 NWB format specification v2.2.5 documentation","volume-title":"NWB Format Specification v2.2.5 Documentation","author":"NWB Schema-b","year":"2021","unstructured":"NWB Schema-b. 2021. Welcome to the NWB format specification \u2014 NWB format specification v2.2.5 documentation. NWB Format Specification v2.2.5 Documentation. https:\/\/nwb-schema.readthedocs.io."},{"key":"bib58","article-title":"Neurodata Without Borders Slack","author":"NWB Slack","year":"2022","unstructured":"NWB Slack. 2022. Neurodata Without Borders Slack. https:\/\/nwb-users.slack.com [Accessed May 13, 2022]."},{"key":"bib59","article-title":"Welcome to the NWB specification language \u2014 NWB specification language v2.0.0-beta documentation","volume-title":"readthedocs","author":"NWB Specification Language","year":"2022","unstructured":"NWB Specification Language. 2022. Welcome to the NWB specification language \u2014 NWB specification language v2.0.0-beta documentation. readthedocs. https:\/\/schema-language.readthedocs.io."},{"key":"bib60","article-title":"Welcome to NWB storage \u2013 NWB storage v1.0.0 documentation","volume-title":"readthedocs","author":"NWB Storage","year":"2021","unstructured":"NWB Storage. 2021. Welcome to NWB storage \u2013 NWB storage v1.0.0 documentation. readthedocs. https:\/\/nwb-storage.readthedocs.io."},{"key":"bib61","article-title":"Neurodata Without Borders Twitter","author":"NWB Twitter","year":"2022","unstructured":"NWB Twitter. 2022. Neurodata Without Borders Twitter. https:\/\/twitter.com\/neurodatawb [Accessed May 13, 2022]."},{"key":"bib62","article-title":"NWB YouTube Channel","author":"NWB YouTube","year":"2021","unstructured":"NWB YouTube. 2021. NWB YouTube Channel. https:\/\/www.youtube.com\/c\/NeurodataWithoutBorders [Accessed May 13, 2022]."},{"key":"bib63","doi-asserted-by":"publisher","DOI":"10.1101\/061507","article-title":"Suite2p: Beyond 10,000 Neurons with Standard Two-Photon Microscopy","volume-title":"bioRxiv","author":"Pachitariu","year":"2016"},{"key":"bib64","doi-asserted-by":"publisher","DOI":"10.1101\/2021.07.26.453884","article-title":"AJILE12: Long-Term Naturalistic Human Intracranial Neural Recordings and Pose","volume-title":"bioRxiv","author":"Peterson","year":"2021"},{"key":"bib65","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-2-13","article-title":"ScanImage: flexible software for operating laser scanning microscopes","volume":"2","author":"Pologruto","year":"2003","journal-title":"Biomedical Engineering Online"},{"key":"bib66","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1038\/d41586-021-00331-5","article-title":"The broken promise that undermines human genome research","volume":"590","author":"Powell","year":"2021","journal-title":"Nature"},{"key":"bib67","article-title":"pynwb","volume-title":"Github","author":"PyNWB-a","year":"2021","unstructured":"PyNWB-a. 2021. pynwb. Github. https:\/\/github.com\/NeurodataWithoutBorders\/pynwb."},{"key":"bib68","article-title":"NWB for Python \u2014 PyNWB 1.4.0 documentation","volume-title":"readthedocs","author":"PyNWB-b","year":"2021","unstructured":"PyNWB-b. 2021. NWB for Python \u2014 PyNWB 1.4.0 documentation. readthedocs. https:\/\/pynwb.readthedocs.io."},{"key":"bib69","doi-asserted-by":"publisher","first-page":"1440","DOI":"10.1038\/nn.3839","article-title":"Putting big data to good use in neuroscience","volume":"17","author":"Sejnowski","year":"2014","journal-title":"Nature Neuroscience"},{"key":"bib70","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aa5eea","article-title":"Open Ephys: an open-source, plugin-based platform for multichannel electrophysiology","volume":"14","author":"Siegle","year":"2017","journal-title":"Journal of Neural Engineering"},{"key":"bib71","article-title":"staged extensions","volume-title":"Github","author":"staged extensions","year":"2021","unstructured":"staged extensions. 2021. staged extensions. Github. https:\/\/github.com\/nwb-extensions\/staged-extensions."},{"key":"bib72","article-title":"ecogVIS","volume-title":"Github","author":"Tauffer","year":"2021","unstructured":"Tauffer L, Dichter B. 2021. ecogVIS. Github. 3.8. https:\/\/github.com\/catalystneuro\/ecogVIS."},{"key":"bib73","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1016\/j.neuron.2015.10.025","article-title":"Neurodata without borders: creating a common data format for neurophysiology","volume":"88","author":"Teeters","year":"2015","journal-title":"Neuron"},{"key":"bib74","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1109\/BigData47090.2019.9005648","article-title":"HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards","author":"Tritt","year":"2019","unstructured":"Tritt AJ, Rubel O, Dichter B, Ly R, Kang D, Chang EF, Frank LM, Bouchard K. 2019. HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. 2019 IEEE International Conference on Big Data (Big Data."},{"key":"bib75","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.18","article-title":"The FAIR Guiding Principles for scientific data management and stewardship","volume":"3","author":"Wilkinson","year":"2016","journal-title":"Scientific Data"}],"container-title":["eLife"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.elifesciences.org\/articles\/78362\/elife-78362-v3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/cdn.elifesciences.org\/articles\/78362\/elife-78362-v3.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/elifesciences.org\/articles\/78362","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T21:20:31Z","timestamp":1697059231000},"score":1,"resource":{"primary":{"URL":"https:\/\/elifesciences.org\/articles\/78362"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,4]]},"references-count":75,"alternative-id":["10.7554\/eLife.78362"],"URL":"https:\/\/doi.org\/10.7554\/elife.78362","archive":["CLOCKSS"],"relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2021.03.13.435173","asserted-by":"subject"}],"references":[{"id-type":"accession","id":"000065","asserted-by":"subject"},{"id-type":"accession","id":"000019\/0.220126.2148","asserted-by":"subject"},{"id-type":"accession","id":"000064","asserted-by":"subject"},{"id-type":"accession","id":"000048","asserted-by":"subject"},{"id-type":"accession","id":"000020","asserted-by":"subject"}],"has-review":[{"id-type":"doi","id":"10.7554\/eLife.78362.sa1","asserted-by":"object"},{"id-type":"doi","id":"10.7554\/eLife.78362.sa0","asserted-by":"object"},{"id-type":"doi","id":"10.7554\/eLife.78362.sa2","asserted-by":"object"}]},"ISSN":["2050-084X"],"issn-type":[{"value":"2050-084X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,4]]},"assertion":[{"value":"single anonymised","name":"peer_review_transparency","label":"Peer review transparency","group":{"name":"peer_review_taxonomy"}},{"value":"other reviewer(s), editor","name":"peer_review_interaction","label":"Peer review interaction","group":{"name":"peer_review_taxonomy"}},{"value":"review summaries, review reports, author\/editor communication, reviewer identities reviewer opt in, editor identities","name":"peer_review_published","label":"Peer review published","group":{"name":"peer_review_taxonomy"}},{"value":"open (sign in with ORCID iD required)","name":"post_publication_commenting","label":"Post publication commenting","group":{"name":"post_publication_commenting"}}],"article-number":"e78362"}}