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作 者:Lili Zhang Jianhui Li Paul F.Uhlir Liangming Wen Kaichao Wu Ze Luo Yude Liu
机构地区:[1]Computer Network Information Center,Chinese Academy of Sciences,100190,China [2]Consultant,Information Policy and Management,Callicoon,NY,12723,USA
出 处:《Data Intelligence》2023年第2期355-369,共15页数据智能(英文)
基 金:supported by funding from the National Key R&D Program of China(No.2021YFE0111500);the National Natural Science Foundation of China(No.72104229);the CAS Program for fostering international mega-science(No.241711KYSB20200023);the CAS President's International Fellowship Initiative(No.2021VTA0006).
摘 要: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.
关 键 词:Open science Open science cloud Research e-infrastructure Open science infrastructures Global Open Science Cloud Initiative
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