Chinese Academy of Science
Li Jianhui is the director of Science and Technology Cloud Department at the Computer Network information Center (CNIC) of the Chinese Academy of Sciences (CAS), and a Professor at the University of Chinese Academy of Sciences (UCAS). He obtained Ph.D. degree on computer science from the Institute of Computing Technology of CAS in 2007. He spent over 15 years in the research of scientific data management, data-intensive computing and big data analysis. he led the design and development of CAS scientific data infrastructure and open data cloud. In 2016, He founded “China Scientific data”, which is the first open access data journal for scientific data publication in China. Currently, he is leading the design, development and operation of CSTCloud (China Science and Technology Cloud), which is the national level open science platform. He also serves as the CODATA vice president and actively engage in open data and open science international cooperation.
All Sessions by Li Jianhui
CSTCloud: progress, challenges and opportunities
We are stepping into an era with unprecedented trends of cross-disciplinary and cross-border collaboration for science and research. A new research paradigm is shaping by applying increasingly machine learning, and by harnessing the most advanced computing facilities and software, to handle those huge data. The advanced infrastructure for this new paradigm and open science is on demand. After decades sustainably developing and operating the cyber-infrastructure of Chinese Academy of Sciences (CAS), we started to design and develop a new converge infrastructure of network, computing and data, which called China Science and Technology Cloud（CSTCloud）. Driven by new technologies in high speed network, cloud computing, big data and machine learning, CSTCloud aims to develop next-generation e-infrastructure for research to serve domestic science discovery and global science collaborations. CSTCloud is a national platform to provide scientists with efficient and integrated cloud solutions in the retrieval, access, use, transaction, delivery and other aspects of sharing information and relevant services. CSTCloud was launched to provide services at the end of 2019, which collected 400 shared science software and Petabyte scale Multidisciplinary open data with its computing capacity and cloud storage reaching over 315 PF and over 150 PB respectively. Priorities include but are not limited to one-stop and tailored services for scientists, advanced demonstrations driven by key research initiatives, open science practices, and multilateral collaboration and interoperability. We will update the new progress of CSTCloud in technique framework, resources, services, and some typical using cases. We will discuss some key challenges of the implementation technique, resource sharing policies and operation mechanics. We will also explore the possibility to make alignment of different national, regional open science platform to be a global open science cloud the world, to deal with complex, large-scale problems.
Discussion Panel: Open Science And Regulatory Frames
Panelists: Karina Angelieva, Deputy Minister of Education and Science in Bulgaria Dr. Paul Ayris, University College London Prof. Li Jianhui, Chinese Academy of Science Martin Semberger, Austrian Federal Ministry for Digital and Economic Affairs Dr. Stefan Hanslik, Austrian Federal Ministry of Education, Science and Research Marie Timmermann, Science Europe Chair and Moderator: Dr. Paolo Budroni, TU Wien Co-chair: Dr. Tiberius Ignat, Scientific Knowledge Services