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Sharing neurophysiology data from the Allen Brain Observatory
Nullius in verba (‘trust no one’), chosen as the motto of the Royal Society in 1660, implies that independently verifiable observations—rather than authoritative claims—are a defining feature of empirical science. As the complexity of modern scientific instrumentation has made exact replications pro...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335829/ https://www.ncbi.nlm.nih.gov/pubmed/37432073 http://dx.doi.org/10.7554/eLife.85550 |
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author | de Vries, Saskia EJ Siegle, Joshua H Koch, Christof |
author_facet | de Vries, Saskia EJ Siegle, Joshua H Koch, Christof |
author_sort | de Vries, Saskia EJ |
collection | PubMed |
description | Nullius in verba (‘trust no one’), chosen as the motto of the Royal Society in 1660, implies that independently verifiable observations—rather than authoritative claims—are a defining feature of empirical science. As the complexity of modern scientific instrumentation has made exact replications prohibitive, sharing data is now essential for ensuring the trustworthiness of one’s findings. While embraced in spirit by many, in practice open data sharing remains the exception in contemporary systems neuroscience. Here, we take stock of the Allen Brain Observatory, an effort to share data and metadata associated with surveys of neuronal activity in the visual system of laboratory mice. Data from these surveys have been used to produce new discoveries, to validate computational algorithms, and as a benchmark for comparison with other data, resulting in over 100 publications and preprints to date. We distill some of the lessons learned about open surveys and data reuse, including remaining barriers to data sharing and what might be done to address these. |
format | Online Article Text |
id | pubmed-10335829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-103358292023-07-12 Sharing neurophysiology data from the Allen Brain Observatory de Vries, Saskia EJ Siegle, Joshua H Koch, Christof eLife Neuroscience Nullius in verba (‘trust no one’), chosen as the motto of the Royal Society in 1660, implies that independently verifiable observations—rather than authoritative claims—are a defining feature of empirical science. As the complexity of modern scientific instrumentation has made exact replications prohibitive, sharing data is now essential for ensuring the trustworthiness of one’s findings. While embraced in spirit by many, in practice open data sharing remains the exception in contemporary systems neuroscience. Here, we take stock of the Allen Brain Observatory, an effort to share data and metadata associated with surveys of neuronal activity in the visual system of laboratory mice. Data from these surveys have been used to produce new discoveries, to validate computational algorithms, and as a benchmark for comparison with other data, resulting in over 100 publications and preprints to date. We distill some of the lessons learned about open surveys and data reuse, including remaining barriers to data sharing and what might be done to address these. eLife Sciences Publications, Ltd 2023-07-11 /pmc/articles/PMC10335829/ /pubmed/37432073 http://dx.doi.org/10.7554/eLife.85550 Text en © 2023, de Vries, Siegle et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience de Vries, Saskia EJ Siegle, Joshua H Koch, Christof Sharing neurophysiology data from the Allen Brain Observatory |
title | Sharing neurophysiology data from the Allen Brain Observatory |
title_full | Sharing neurophysiology data from the Allen Brain Observatory |
title_fullStr | Sharing neurophysiology data from the Allen Brain Observatory |
title_full_unstemmed | Sharing neurophysiology data from the Allen Brain Observatory |
title_short | Sharing neurophysiology data from the Allen Brain Observatory |
title_sort | sharing neurophysiology data from the allen brain observatory |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335829/ https://www.ncbi.nlm.nih.gov/pubmed/37432073 http://dx.doi.org/10.7554/eLife.85550 |
work_keys_str_mv | AT devriessaskiaej sharingneurophysiologydatafromtheallenbrainobservatory AT sieglejoshuah sharingneurophysiologydatafromtheallenbrainobservatory AT kochchristof sharingneurophysiologydatafromtheallenbrainobservatory |