Resumo

PORTELLES LIY, Adrian; ORELLANA GARCIA, Arturo; BUEDO HIDALGO, Denys  e  CANEL GOMEZ, Dairon. Statistics and Reporting Functionalities for the Cuban Neuroscience Data Repository. RCIM [online]. 2022, vol.14, n.1  Epub 01-Jun-2022. ISSN 1684-1859.

Various projects have been carried out in developed countries for the organization of Neuroscience databases, including data repositories. The Cuban Neuroscience Center is the leading institution for neuroscientific studies in the country. Due to the volumes of data that are managed in its repository, statistical management and obtaining reports are difficult. The repository lacks tools for statistical analysis of the universe of data stored, making it difficult to make decisions about the different types of data.

Based on the deficiencies identified, it was decided to develop a group of statistical and reporting functionalities that allow the extraction of useful information from different perspectives, benefiting neuroscience scientists in the study and application of scenarios for the treatment of stored data. An analysis of the state of the art of the tools that allow generating reports and statistics of the data stored in a repository or in a database was carried out. For the development, technologies and tools such as Visual Paradigm for modeling, PostgreSQL for data management, Django as a development framework and the Python development language were used. The result obtained will provide a tool with similar characteristics to its international counterparts.

Palavras-chave : statistics; functionalities; neuroscience; repository; decision making.

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