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Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/43F8G9B
Repositorysid.inpe.br/mtc-m21c/2020/10.23.14.12
Last Update2020:10.23.14.12.34 simone
Metadatasid.inpe.br/mtc-m21c/2020/10.23.14.12.34
Metadata Last Update2020:10.24.10.46.16 administrator
DOI10.1590/0001-3765202020200861
ISSN0001-3765
Citation KeyRosa:2020:DaScSt
TitleData science strategies for multimessenger astronomy
Year2020
Access Date2020, Nov. 26
Number of Files1
Size1573 KiB
Context area
AuthorRosa, Reinaldo Roberto
Resume Identifier8JMKD3MGP5W/3C9JJ5D
GroupLABAC-COCTE-INPE-MCTIC-GOV-BR
AffiliationInstituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Addressreinaldo.rosa@inpe.br
JournalAnais da Academia Brasileira de Ciencias
Volume93
Secondary MarkA1_INTERDISCIPLINAR A1_ENGENHARIAS_III A2_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_GEOGRAFIA A2_ENSINO A2_ENGENHARIAS_IV A2_CIÊNCIAS_AMBIENTAIS A2_BIODIVERSIDADE A2_ANTROPOLOGIA_/_ARQUEOLOGIA B1_ZOOTECNIA_/_RECURSOS_PESQUEIROS B1_PSICOLOGIA B1_NUTRIÇÃO B1_MEDICINA_VETERINÁRIA B1_GEOCIÊNCIAS B1_ENGENHARIAS_II B1_ENGENHARIAS_I B1_ENFERMAGEM B1_EDUCAÇÃO_FÍSICA B1_CIÊNCIAS_SOCIAIS_APLICADAS_I B1_CIÊNCIAS_AGRÁRIAS_I B2_SAÚDE_COLETIVA B2_QUÍMICA B2_MEDICINA_III B2_MEDICINA_II B2_MEDICINA_I B2_MATERIAIS B2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B2_FARMÁCIA B2_ECONOMIA B2_CIÊNCIA_DE_ALIMENTOS B2_CIÊNCIA_DA_COMPUTAÇÃO B3_CIÊNCIAS_BIOLÓGICAS_II B3_CIÊNCIAS_BIOLÓGICAS_I B3_BIOTECNOLOGIA B3_ASTRONOMIA_/_FÍSICA B4_CIÊNCIAS_BIOLÓGICAS_III
History2020-10-23 14:12:34 :: simone -> administrator ::
2020-10-23 14:12:35 :: administrator -> simone :: 2020
2020-10-23 14:12:42 :: simone -> administrator :: 2020
2020-10-24 10:46:16 :: administrator -> simone :: 2020
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Is the master or a copy?is the master
Document Stagecompleted
Document Stagenot transferred
Transferable1
Content TypeExternal Contribution
Secondary TypePRE PN
Version Typepublisher
Pagese20200861
KeywordsAstronomical data science, big data, data lake, data cube, MMA.
AbstractThis 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.
AreaCOMP
Type of Workjournal article
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Languageen
Target Filerosa_data.pdf
e-Mail (login)simone
User Groupsimone
Reader Groupadministrator
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Visibilityshown
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Mirror Repositoryurlib.net/www/2017/11.22.19.04.03
Next Higher Units8JMKD3MGPCW/3ESGTTP
DisseminationWEBSCI; PORTALCAPES; SCIELO.
Host Collectionurlib.net/www/2017/11.22.19.04
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