Start Submission Become a Reviewer

Reading: Conceptual View Representation of the Brazilian Information System on Antarctic Environmenta...

Download

A- A+
dyslexia friendly

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
X close

M Poltosi,

Extreme Data Laboratory, National Laboratory for Scientific Computing, 25651-075 Petrópolis, Brazil, BR
X close

L Gadelha,

Extreme Data Laboratory, National Laboratory for Scientific Computing, 25651-075 Petrópolis, Brazil, BR
X close

F Porto,

Extreme Data Laboratory, National Laboratory for Scientific Computing, 25651-075 Petrópolis, Brazil, BR
X close

A Moura,

Extreme Data Laboratory, National Laboratory for Scientific Computing, 25651-075 Petrópolis, Brazil, BR
X close

A Dalto,

Instituto de Biologia, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, Brazil, BR
X close

H P Lavrado,

Instituto de Biologia, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, Brazil, BR
X close

Y Valentin,

Instituto de Biologia, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, Brazil, BR
X close

M Tenório,

Instituto de Biologia, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, Brazil, BR
X close

E Xavier

Instituto de Biologia, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, Brazil, BR
X close

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.

DOI: http://doi.org/10.2481/dsj.IFPDA-04
How to Cite: Zorrilla, R. et al., (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
8
Views
18
Downloads
1
Citations
Published on 23 Sep 2014.
Peer Reviewed

Downloads

  • PDF (EN)

    comments powered by Disqus