Proceedings Papers
Conceptual View Representation of the Brazilian Information System on Antarctic Environmental Research
Authors:
R Zorrilla ,
Extreme Data Laboratory, National Laboratory for Scientific Computing, 25651-075 Petrópolis, Brazil, BR
M Poltosi,
Extreme Data Laboratory, National Laboratory for Scientific Computing, 25651-075 Petrópolis, Brazil, BR
L Gadelha,
Extreme Data Laboratory, National Laboratory for Scientific Computing, 25651-075 Petrópolis, Brazil, BR
F Porto,
Extreme Data Laboratory, National Laboratory for Scientific Computing, 25651-075 Petrópolis, Brazil, BR
A Moura,
Extreme Data Laboratory, National Laboratory for Scientific Computing, 25651-075 Petrópolis, Brazil, BR
A Dalto,
Instituto de Biologia, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, Brazil, BR
H P Lavrado,
Instituto de Biologia, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, Brazil, BR
Y Valentin,
Instituto de Biologia, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, Brazil, BR
M Tenório,
Instituto de Biologia, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, Brazil, BR
E Xavier
Instituto de Biologia, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, Brazil, BR
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.
How to Cite:
Zorrilla, R., Poltosi, M., Gadelha, L., Porto, F., Moura, A., Dalto, A., Lavrado, H.P., Valentin, Y., Tenório, M. and Xavier, E., 2014. Conceptual View Representation of the Brazilian Information System on Antarctic Environmental Research. Data Science Journal, 13, pp.PDA20–PDA26. DOI: http://doi.org/10.2481/dsj.IFPDA-04
Published on
23 Sep 2014.
Peer Reviewed
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