@Article{Rosa:2021:DaScSt,
author = "Rosa, Reinaldo Roberto",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Data science strategies for multimessenger astronomy",
journal = "Anais da Academia Brasileira de Ci{\^e}ncias",
year = "2021",
volume = "93",
pages = "e20200861",
keywords = "Astronomical data science, big data, data lake, data cube, MMA.",
abstract = "This article aims to identify and suggest data science strategies
to strengthen scientific research in astronomy. The improvements
in data workflow performance that can be provided by these
strategies can be crucial to the multimessenger astronomy (MMA). A
special focus is given to the treatment of raw data in the context
of big data networks for BRICS astronomy initiatives. A
preliminary design of a prototype that incorporates an MMA data
cube into a data lake system is presented.",
doi = "10.1590/0001-3765202020200861",
url = "http://dx.doi.org/10.1590/0001-3765202020200861",
issn = "0001-3765",
label = "self-archiving-INPE-MCTIC-GOV-BR",
language = "en",
targetfile = "rosa_data.pdf",
urlaccessdate = "01 jun. 2024"
}