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Helmholtz: a customizable framework for neurophysiology data management

Abstract : The benefits of capturing the output of neurophysiology laboratories in structured databases are potentially very large, both in improved data management within a laboratory and in easier and more effective sharing of data, whether with close collaborators or in public databases. However, at present the task of systematically annotating every experiment with sufficient metadata to enable the data to be correctly analysed and interpreted is typically an arduous one. Then, once the effort to create a laboratory database has been made, considerable further effort is needed, due to lack of software tool support, to make use of the database in the day-to-day life of the laboratory, and so realise the potential benefits.
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https://hal-cnrs.archives-ouvertes.fr/hal-03047325
Contributor : Alain Perignon <>
Submitted on : Tuesday, December 8, 2020 - 6:15:37 PM
Last modification on : Tuesday, December 8, 2020 - 6:15:38 PM

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Andrew P. Davison, Thierry Bal, Domenico Guarino, Olivier Manette, Cyril Monier, et al.. Helmholtz: a customizable framework for neurophysiology data management. Neuroinformatics 2013, INCF, Stockholm, Sweden, Aug 2013, Stockholm, Sweden. ⟨10.3389/conf.fninf.2013.09.00025⟩. ⟨hal-03047325⟩

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