Open science in the cloud: the CloudFAIR architecture for FAIR-compliant repositories (2022)
- Authors:
- USP affiliated authors: AGUIAR, CRISTINA DUTRA DE - ICMC ; ROMERO, LUCAS DE MEDEIROS FRANCA - ICMC ; CASTRO, JOÃO PEDRO DE CARVALHO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-15743-1_6
- Subjects: COMPUTAÇÃO EM NUVEM; ARQUITETURA DE SOFTWARE
- Keywords: Open science; FAIR principles; Cloud computing
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Communications in Computer and Information Science
- ISSN: 1865-0929
- Volume/Número/Paginação/Ano: v. 1652, p. 56-66, 2022
- Conference titles: European Conference on Advances in Databases and Information Systems - ADBIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CASTRO, João Pedro de Carvalho et al. Open science in the cloud: the CloudFAIR architecture for FAIR-compliant repositories. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-15743-1_6. Acesso em: 24 dez. 2025. , 2022 -
APA
Castro, J. P. de C., Romero, L. de M. F., Carniel, A. C., & Aguiar, C. D. de. (2022). Open science in the cloud: the CloudFAIR architecture for FAIR-compliant repositories. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-031-15743-1_6 -
NLM
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. Open science in the cloud: the CloudFAIR architecture for FAIR-compliant repositories [Internet]. Communications in Computer and Information Science. 2022 ; 1652 56-66.[citado 2025 dez. 24 ] Available from: https://doi.org/10.1007/978-3-031-15743-1_6 -
Vancouver
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. Open science in the cloud: the CloudFAIR architecture for FAIR-compliant repositories [Internet]. Communications in Computer and Information Science. 2022 ; 1652 56-66.[citado 2025 dez. 24 ] Available from: https://doi.org/10.1007/978-3-031-15743-1_6 - FAIR principles and big data: a software reference architecture for open science
- Analyzing spatial analytics systems based on Hadoop and Spark: a user perspective
- Exploring architectural solutions for implementing the FAIR principles in big data environments
- Big data architectures for FAIR-compliant repositories: a systematic review
- SOLAP query processing over IoT networks in smart cities: a novel architecture
- FLAMI vs GADDS: estudo comparativo de arquiteturas de big data aderentes aos princípios FAIR
- Combining fog and cloud computing to support spatial analytics in smart cities
- Building FAIR-compliant lakehouses with FLAMI
- A systematic review of FAIR-compliant big data software reference architectures
- Analisando Sistemas Analíticos Espaciais Baseados em Hadoop e Spark: Uma Perspectiva de Usuário
Informações sobre o DOI: 10.1007/978-3-031-15743-1_6 (Fonte: oaDOI API)
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