Neurodata Without Borders (NWB)

Type: Software,

Keywords: Neurophysiology, Data standard, FAIR data sharing, Intracellular electrophysiology, Extracellular electrophysiology, Optical physiology, Data science

Neurodata Without Borders: Neurophysiology (NWB:N) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build analysis tools for neurophysiology data

Neurodata Without Borders: Neurophysiology (NWB) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB is designed to store a variety of neurophysiology data, including data from intracellular and extracellular electrophysiology experiments, data from optical physiology experiments, and tracking and stimulus data. NWB is more than just a file format; it defines an ecosystem of tools, methods, and standards for storing, sharing, and analyzing complex neurophysiology data. NWB provides software for data standardization and application programming interfaces (APIs) for reading and writing the data, and is supported by a growing ecosystem of data analysis and management tools.

* Neurodata Without Borders: Neurophysiology (NWB) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data.

* NWB is supported by a growing ecosystem of neurophysiology tools, providing users access to state-of-the-art tools and methods for analyzing and sharing neurophysiology data.

* INCF Endorsed Standard and Best Practice (see https://www.incf.org/sbp/nwb).

* 2019 R&D 100 Award Winner (see https://www.nwb.org/2019/10/31/neurodata-without-borders-wins-2019-rd100-award/).

* Store, share, analyze, publish, and reuse intracellular and extracellular electrophysiology and optical physiology data.

* O. Rübel, A. J. Tritt, R. Ly, B.K. Dichter, S. S. Ghosh, L. Niu, I. Soltesz, K. Svoboda, L. M. Frank, K. Bouchard, “The Neurodata Without Borders ecosystem for neurophysiological data science,” March, 2021, doi: https://doi.org/10.1101/2021.03.13.435173, bioRxiv preprint.

* A. J. Tritt, O. Rübel, B. Dichter, R. Ly, D. Kang, E. F. Chang, L. M. Frank, K. E. Bouchard, “HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards,” IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, December 2019, pp. 165-179. Online on IEEEXplore.

* Rübel, O., Tritt, A., Dichter, B., Braun, T., Cain, N., Clack, N., Davidson, T. J., Dougherty, M., Fillion-Robin, J.-C., Graddis, N., Grauer, M., Kiggins, J. T., Niu, L., Ozturk, D., Schroeder, W., Soltesz, I., Sommer, F. T., Svoboda, K., Ng, L., Frank, L. M., Bouchard, K. NWB:N 2.0: An Accessible Data Standard for Neurophysiology. January, 2019, doi: https://doi.org/10.1101/523035, bioRxiv preprint.

NWB is supported by the DANDI BRAIN Initiative archive for publishing and sharing cellular neurophysiology data available at https://gui.dandiarchive.org.

CONTACT NAME, POSITION

Oliver Ruebel, Staff Scientists, Computational Research Division, Lawrence Berkeley National Laboratory; Benjamin Dichter, CatalystNeuro

ORGANIZATION

Lawrence Berkeley National Laboratory, Berkeley, CA

CONTACT INFORMATION

TEAM / COLLABORATOR(S)

Ryan Ly, Computational Research Division, Lawrence Berkeley National Laboratory; Andrew Tritt, Computational Research Division, Lawrence Berkeley National Laboratory; Lawrence Niu, Vidrio Technologies

WEBSITE(S)

FUNDING SOURCE(S)

NIH U24NS120057