Estratégia computacional para reprodutibilidade e armazenamento de dados ambientais

• Autor(a) principal: Kuhnen, Igor Antonio
• Data de Publicação: 2020
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Repositório Institucional da UFMT
• Texto Completo: http://ri.ufmt.br/handle/1/3448
• topic: Dados ambientais; Banco de dados; Reprodutibilidade; Laravel; CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA; Ambiental data; Database; Reproducibility; Laravel

Scientific experiments are the basis for the validation and reliability of scienti- c discoveries and con dence in the data provided for studies is paramount for ensuring the quality of the information generated. Currently, data collection, storage and sharing processes in most stations that support environmental studies are carried out manually, compromising the integrity of the data generated. The general objective of this work is to develop a computational tool, based on the management, storage and sharing of environmental data, to support their reproducibility and reuse. The research was developed at the Advanced Research Base of Pantanal-BAAP, in the city of Poconé - MT. The methodology included the investigation of the structural characteristics of the data generated by the equipment as well as of the processes that describe the data life cycle, in order to identify the demands for the new system and provide subsidies for the elaboration of data ow diagrams, diagrams of entity and relationship and activity diagrams, necessary for the description of the proposed new system. As a result, a web computing tool was developed, in PHP, known and open source, in a Laravel framework, to enable data management, an application of a new BAPP data cycle process, involving the planning steps , collection, security, description, preservation, discovery, integration, analysis and, again, planning, enabling the same set of data to generate di erent information and knowledge. A database management system, MYSQL, also open source was used where it was parameterized in order to guarantee high robustness and easy applicability in the replication of data on di erent machines.