This paper focuses on research e-infrastructures in the open science era. We analyze some of the challenges and opportunities of cloud-based science and introduce an example of a national solution in the China Science and Technology Cloud (CSTCloud). We selected three CSTCloud use cases in deploying open science modules, including scalable engineering in astronomical data management, integrated Earth-science resources for SDG-13 decision making, and the coupling of citizen science and artificial intelligence (AI) techniques in biodiversity. We conclude with a forecast on the future development of research e-infrastructures and introduce the idea of the Global Open Science Cloud (GOSC). We hope this analysis can provide some insights into the future development of research e-infrastructures in support of open science.
CITATION STYLE
Zhang, L., Li, J., Uhlir, P. F., Wen, L., Wu, K., Luo, Z., & Liu, Y. (2023). Research e-infrastructures for open science: The national example of CSTCloud in China. Data Intelligence, 5(2), 355–369. https://doi.org/10.1162/dint_a_00196
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