The BigFAIR architecture: enabling big data analytics in FAIR-compliant repositories (2025)
- Authors:
- USP affiliated authors: AGUIAR, CRISTINA DUTRA DE - ICMC ; ROMERO, LUCAS DE MEDEIROS FRANÇA - ICMC ; CASTRO, JOÃO PEDRO DE CARVALHO - ICMC
- Unidade: ICMC
- DOI: 10.1145/3774755
- Subjects: BIG DATA; ARQUITETURA DE SOFTWARE
- Keywords: Open science; FAIR principles
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: ACM Journal of Data and Information Quality
- ISSN: 1936-1955
- Volume/Número/Paginação/Ano: v. 17, n. 4, p. 24:1-24:28, Dec. 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CASTRO, João Pedro de Carvalho et al. The BigFAIR architecture: enabling big data analytics in FAIR-compliant repositories. ACM Journal of Data and Information Quality, v. 17, n. 4, p. 24:1-24:28, 2025Tradução . . Disponível em: https://doi.org/10.1145/3774755. Acesso em: 23 jan. 2026. -
APA
Castro, J. P. de C., Romero, L. de M. F., Carniel, A. C., & Aguiar, C. D. de. (2025). The BigFAIR architecture: enabling big data analytics in FAIR-compliant repositories. ACM Journal of Data and Information Quality, 17( 4), 24:1-24:28. doi:10.1145/3774755 -
NLM
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. The BigFAIR architecture: enabling big data analytics in FAIR-compliant repositories [Internet]. ACM Journal of Data and Information Quality. 2025 ; 17( 4): 24:1-24:28.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1145/3774755 -
Vancouver
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. The BigFAIR architecture: enabling big data analytics in FAIR-compliant repositories [Internet]. ACM Journal of Data and Information Quality. 2025 ; 17( 4): 24:1-24:28.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1145/3774755 - FAIR principles and big data: a software reference architecture for open science
- Open science in the cloud: the CloudFAIR architecture for FAIR-compliant repositories
- Big data architectures for FAIR-compliant repositories: a systematic review
- Exploring architectural solutions for implementing the FAIR principles in big data environments
- Analyzing spatial analytics systems based on Hadoop and Spark: a user perspective
- FLAMI vs GADDS: estudo comparativo de arquiteturas de big data aderentes aos princípios FAIR
- A systematic review of FAIR-compliant big data software reference architectures
- SOLAP query processing over IoT networks in smart cities: a novel architecture
- Combining fog and cloud computing to support spatial analytics in smart cities
- Building FAIR-compliant lakehouses with FLAMI
Informações sobre o DOI: 10.1145/3774755 (Fonte: oaDOI API)
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