Challenges in cloud infrastructure and scientific data

technical proposals and tools applied to the SciELO database

Autores

DOI:

https://doi.org/10.22477/vi.widat.44

Palavras-chave:

Big Data, Data analytics, data lifecycle, information retrieval

Resumo

Introduction: Cloud computing applications have significant relevance for scientific databases based on research data. This work aims to report the proposed requisites and steps of technologies and tools to develop cloud computing applications based on research data for the SciELO database.  Methods: We have used commercial cloud infrastructure and proposed a step-by-step method that could be applied to unstructured databases aiming at a comprehensive data model. Results: We have iteratively looked at data entries and developed SQL scripts that build a data model for the SciELO database. All the scripts are made public. Conclusion: Despite the data sovereignty concerns, commercial cloud services are a good option for short term projects. Also, the sequence of steps and general structure of the scripts can be used to make other similar open databases available and useful.

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Biografia do Autor

Alysson Mazoni, Universidade de Campinas (Unicamp)

Doctor, University of Campinas (Unicamp), Campinas, São Paulo, Brazil. Post-doctoral researcher.

João de Melo Maricato, Universidade de Brasília (UnB)

Doctor, University of Brasilia (UnB), Brasília, Distrito Federal, Brazil. Professor.

Ronaldo Ferreira de Araújo, Universidade Federal de Alagoas (UFAL)

Doctor, Federal University of Alagoas (UFAL), Maceió, Alagoas, Brazil. Professor

Rodrigo Costas Comesaña, Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy (DSI-NRF-SciSTIP)

Doctor, Centre for Science and Technology Studies (CWTS), University of Leiden, Leiden, South Holland, The Netherlands. Senior researcher. Stellenbosch University, Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy (DSI-NRF-SciSTIP), Stellenbosch, South Africa. Extraordinary professor.

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Publicado

17/08/2023

Como Citar

MAZONI, A. F.; MARICATO, J. de M.; ARAÚJO, R. F. de; COMESAÑA, R. C. Challenges in cloud infrastructure and scientific data: technical proposals and tools applied to the SciELO database. Anais do Workshop de Informação, Dados e Tecnologia - WIDaT, [S. l.], v. 6, 2023. DOI: 10.22477/vi.widat.44. Disponível em: https://labcotec.ibict.br/widat/index.php/widat2023/article/view/44. Acesso em: 12 out. 2024.

Edição

v. 6 (2023): Anais do VI Workshop de Informação Dados e Tecnologia

Seção

Trabalhos

Licença

Creative Commons License

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