Data Intelligence (Jan 2023)

Research e-infrastructures for open science: The national example of CSTCloud in China

  • Lili Zhang,
  • Jianhui Li,
  • Paul F. Uhlir,
  • Liangming Wen,
  • Kaichao Wu,
  • Ze Luo,
  • Yude Liu

DOI
https://doi.org/10.1162/dint_a_00196
Journal volume & issue
Vol. 5, no. 2
pp. 355 – 369

Abstract

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ABSTRACTThis 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.