FAIR principles and big data: a software reference architecture for open science (2022)
Castro, João Pedro de Carvalho 
; Romero, Lucas de Medeiros França ; Carniel, Anderson Chaves ; Aguiar, Cristina Dutra de
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: BIG DATA, ARQUITETURA DE SOFTWARE
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ABNT
CASTRO, João Pedro de Carvalho et al. FAIR principles and big data: a software reference architecture for open science. 2022, Anais.. Lisboa: SciTePress, 2022. Disponível em: https://doi.org/10.5220/0011045500003179. Acesso em: 17 nov. 2024.APA
Castro, J. P. de C., Romero, L. de M. F., Carniel, A. C., & Aguiar, C. D. de. (2022). FAIR principles and big data: a software reference architecture for open science. In Proceedings. Lisboa: SciTePress. doi:10.5220/0011045500003179NLM
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. FAIR principles and big data: a software reference architecture for open science [Internet]. Proceedings. 2022 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.5220/0011045500003179Vancouver
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. FAIR principles and big data: a software reference architecture for open science [Internet]. Proceedings. 2022 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.5220/0011045500003179
