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

R Zorrilla; M Poltosi; L Gadelha; F Porto; A Moura; A Dalto; H P Lavrado; Y Valentin; M Tenório; E Xavier

doi:10.2481/dsj.IFPDA-04

This article has now been updated. Please use the final version.

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

R Zorrilla, M Poltosi, L Gadelha, F Porto, A Moura, A Dalto, H P Lavrado, Y Valentin, M Tenório, E Xavier

Author information

R Zorrilla
Extreme Data Laboratory, National Laboratory for Scientific Computing
M Poltosi
Extreme Data Laboratory, National Laboratory for Scientific Computing
L Gadelha
Extreme Data Laboratory, National Laboratory for Scientific Computing
F Porto
Extreme Data Laboratory, National Laboratory for Scientific Computing
A Moura
Extreme Data Laboratory, National Laboratory for Scientific Computing
A Dalto
Instituto de Biologia, Universidade Federal do Rio de Janeiro
H P Lavrado
Instituto de Biologia, Universidade Federal do Rio de Janeiro
Y Valentin
Instituto de Biologia, Universidade Federal do Rio de Janeiro
M Tenório
Instituto de Biologia, Universidade Federal do Rio de Janeiro
E Xavier
Instituto de Biologia, Universidade Federal do Rio de Janeiro

Keywords: Antarctic environmental research, Ecosystem informatics, Biodiversity informatics, Antarctic data management, Long-term preservation

JOURNAL FREE ACCESS Advance online publication

Article ID: IFPDA-04

DOI https://doi.org/10.2481/dsj.IFPDA-04

The final version of this article is now available: Vol. 13 (2014) pp. PDA20-PDA26

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Abstract

Data generated by environmental research in Antarctica are essential in evaluating how its biodiversity and environment are affected by global-scale changes triggered by ever-increasing human activities. In this work, we describe BrAntIS, the Brazilian Information System on Antarctic Environmental Research, which enables the acquiring, storing, and querying of research data generated by the Brazilian National Institute for Science and Technology on Antarctic Environmental Research. BrAntIS' data model reflects data acquisition and analysis conducted by scientists and organized around field expeditions. We describe future functionalities, such as the use of linked data techniques and support for scientific workflows.

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