Resumo

CONTRERA CONTINO, Yaritza; ORELLANA GARCIA, Arturo; ORTEGA SANTIESTEBAN, Karenia  e  VEGA IZAGUIRRE, Leodan. A Current Look at Characterization of Neuroscience Data and Files. RCIM [online]. 2022, vol.14, n.2  Epub 01-Dez-2022. ISSN 1684-1859.

For neuroscientists, it is a challenge to keep track of the data and metadata generated in each investigation and accurately extract all the relevant information, a crucial fact to interpret results and a minimum requirement for researchers to build their investigations on previous findings.

Keep as much information as possible from the start, even if it may seem irrelevant and record and store the data with its metadata clearly and concisely. A preliminary analysis of the specialized literature revealed an absence of detailed research on how to incorporate data and metadata management in clinical brain research, in terms of organizing data and metadata completely in digital repositories, collecting and inputting them taking into account their completeness. , and take advantage of such collection in the process of data analysis.

This research aims to conceptually and technically characterize neuroscience data and metadata to facilitate the development of computer solutions for its management and processing. Different bibliographic sources were consulted, as well as databases and repositories such as: Pubmed, Scielo, Nature, Researchgate, among others. The analysis on the collection, organization, processing and storage of neuroscience data and metadata for each data acquisition technique (EEG, iEEG, MEG, PET), as well as its link to the brain imaging data structure (BIDS) allowed to obtain a general characterization of how to manage and process the information contained in them.

Palavras-chave : data information; BIDS format; metadata; neuroscience; neurotechnologies.

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