Conceptual View Representation of the Brazilian Information System on Antarctic Environmental Research

Zorrilla, R.; Poltosi, Maira; Gadelha, Luiz M. R.; Porto, Fábio; Moura, Ana Maria de Carvalho; Dalto, Adriana Galindo; Lavrado, Helena Passeri; Valentin, Yocie Yoneshigue; Tenório, Maria Cristina; Xavier, Elódia

doi:10.2481/dsj.ifpda-04

Cited by 1 publication

(1 citation statement)

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“…It provides dataset repositories for publishing data in standardized formats and an integrated database that harvest these datasets to provide an integrated view of marine biodiversity. Techniques and data models developed in previous works involving ecological data management, such as the Brazilian Information System on Antarctic Environmental Research ( 14 ) and the Guanabara Bay Long Term Ecological Research Database ( 15 ), were utilized in the development of BaMBa. These previous systems did not consider, however, the management of -omics data, which is now contemplated by BaMBa.…”

Section: Introductionmentioning

confidence: 99%

BaMBa: towards the integrated management of Brazilian marine environmental data

et al. 2015

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A new open access database, Brazilian Marine Biodiversity (BaMBa) (https://marinebiodiversity.lncc.br), was developed in order to maintain large datasets from the Brazilian marine environment. Essentially, any environmental information can be added to BaMBa. Certified datasets obtained from integrated holistic studies, comprising physical–chemical parameters, -omics, microbiology, benthic and fish surveys can be deposited in the new database, enabling scientific, industrial and governmental policies and actions to be undertaken on marine resources. There is a significant number of databases, however BaMBa is the only integrated database resource both supported by a government initiative and exclusive for marine data. BaMBa is linked to the Information System on Brazilian Biodiversity (SiBBr, http://www.sibbr.gov.br/) and will offer opportunities for improved governance of marine resources and scientists’ integration.Database URL: http://marinebiodiversity.lncc.br

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Section: Introductionmentioning

confidence: 99%