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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.

Open scientific data is fundamental to support better quality and higher impact reproducible science. The creation of open scientific databases involves a number of challenges, such as the creation of standardized representations of data and metadata from different domains of knowledge, as well as the development of computational resources to assist scientists in collecting and maintaining high-quality data. This paper presents a free software computational platform for the management and sharing of data from Neuroscience experiments. This platform allows to register data and metadata of experiments in a safe and user-friendly way, integrating data records of different types, such as clinical, electrophysiological and behavioral.

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