Professor Jianhui Li is the director of CSTCloud Dept. Computer Network Information Center, CAS, vice president of the Committee on Data of International Science Council. He’s research mainly focuses on cloud computing and distributed systems in open science paradigms. Currently, he is leading the advanced national research e-infrastructure which is called “China Science and Technology Cloud” (CSTCloud). The current CSTCloud 2.0 has reached 315PF computing resources, 150PB storage resources and PB-level data resources, with nine types of cloud services available for services since late 2019. Most of the services provided by CSTCloud features open science scenarios, such as the exploration of new models for sensitive data sharing across regions, large-scale data movement and federated learning in space physics, SDGs metadata and data exchanges for decision making, etc.
Successfully proposed the idea of co-developing the “Global Open Science Cloud” (GOSC) during the CODATA Beijing Conference 2019 (Towards next-generation data-driven science: policies, practices and platforms), professor LI is leading the CAS GOSC project and gets it closely engaged into the CODATA Decadal Program, hoping to connect science clouds and commons in the world to address the need for open science e-infrastructures.
Open Science infrastructure for global innovation: the CSTCloud practice
To explore the science frontier and tackle grant challenges of humanities, open science endeavors to make science open by larger collaboration and better flow of sundry research resources across domains. And to facilitate all these open science practices, robust and sustained e-infrastructures are urgently needed. Through the process of research resources sharing, we see greater potentials to connect these e-infrastructures as the federated cloud. This talk will mainly focuses on the development of digital research infrastructures in the open science era. challenges and opportunities are identified and national solutions in CSTCloud are introduced accordingly. several CSTCloud use cases are analyzed in deploying open science modules about redesign workflow in astronomy, integrated resources for decision making in earth sciences as well as citizen science and AI technics exploration in biodiversity. Pros and cons among research e-infrastructure cases are discussed, with a forecast on the future development and the idea of Global Open Science Cloud (GOSC) introduced also. Hope the analysis above could provide insight into the future development of digital research infrastructures under the umbrella of open science.