The Neuroscience Experiments System (NES)-A Software Tool to Manage Experimental Data and Its Provenance.

Autor:	Ruiz-Olazar M; Research, Innovation and Dissemination Center for Neuromathematics, University of São Paulo, São Paulo, Brazil.; Polytechnic Faculty, National University of Asunción, Asunción, Paraguay., Rocha ES; Research, Innovation and Dissemination Center for Neuromathematics, University of São Paulo, São Paulo, Brazil., Vargas CD; Research, Innovation and Dissemination Center for Neuromathematics, University of São Paulo, São Paulo, Brazil.; Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil., Braghetto KR; Research, Innovation and Dissemination Center for Neuromathematics, University of São Paulo, São Paulo, Brazil.; Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil.
Jazyk:	angličtina
Zdroj:	Frontiers in neuroinformatics [Front Neuroinform] 2022 Jan 07; Vol. 15, pp. 768615. Date of Electronic Publication: 2022 Jan 07 (Print Publication: 2021).
DOI:	10.3389/fninf.2021.768615
Abstrakt:	Computational tools can transform the manner by which neuroscientists perform their experiments. More than helping researchers to manage the complexity of experimental data, these tools can increase the value of experiments by enabling reproducibility and supporting the sharing and reuse of data. Despite the remarkable advances made in the Neuroinformatics field in recent years, there is still a lack of open-source computational tools to cope with the heterogeneity and volume of neuroscientific data and the related metadata that needs to be collected during an experiment and stored for posterior analysis. In this work, we present the Neuroscience Experiments System (NES), a free software to assist researchers in data collecting routines of clinical, electrophysiological, and behavioral experiments. NES enables researchers to efficiently perform the management of their experimental data in a secure and user-friendly environment, providing a unified repository for the experimental data of an entire research group. Furthermore, its modular software architecture is aligned with several initiatives of the neuroscience community and promotes standardized data formats for experiments and analysis reporting. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Ruiz-Olazar, Rocha, Vargas and Braghetto.)
Databáze:	MEDLINE
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