Challenges in cloud infrastructure and scientific data

technical proposals and tools applied to the SciELO database

Abstract

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.