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Measuring Scientific Productivity in China Using Malmquist Productivity Index

1 Introduction In the last forty years, China has made great efforts to improve the performance of its science system and to build an excellent higher education system. In August 2015, the National Science Library of Chinese Academy of Sciences (LAS, CAS) published an official report named “Blue Book of Basic Research Competitiveness for China in 2015” ( Research group of competitiveness analysis of Chinese basic research of National Science Library, 2015 ) and announced that the number of literature published in Science Citation Index (SCI)/Social Sciences

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Practice and Challenge of International Peer Review: A Case Study of Research Evaluation of CAS Centers for Excellence

1 Introduction At present, China is a front-runner in the number of scientific outputs, but the quality remains to be improved. In order to respond to international competition and to satisfy domestic development needs, the orientation of China’s science and technology evaluation has changed from encouraging international publications to pursuing excellence and encouraging science and technology for promoting development. One of the policies is the introduction of international experts in science and technology evaluation when conditions permit. For instance

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Critical Factors for Personal Cloud Storage Adoption in China

1 Introduction Personal cloud storage can support users conducting personal information management in a ubiquitous network environment, due to the following notable characteristics, such as mass storage, mobile storage, synchronization, and its allowing of sharing information at any time. Bush (1945) proposed “Memex” as a personal library, and we consider personal cloud storage as a contemporary “Memex” ( Bush, 1945 ). According to a report released by the China Internet Network Information Center (CNNIC) in 2015 , the number of Internet users in China

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Reflections on Tools and Methods for Differentiated Assessments of Individual Scientists, Groups of Scientists and Scientific Journals

recent study on the success of a funding agency we mention as an example ( Bornmann & Daniel, 2005 ) who studied the workings of the Boehringer Ingelheim Fonds (B.I.F). In this issue This special section of the Journal of Data and Information Science ( JDIS ) includes contributions on journal assessment, the evaluation of artistic research, institutional benchmarking and the evaluation of the Centres of Excellence of the Chinese Academy of Science (CAS), a huge conglomerate of institutes in different fields. Noyons (2019) proposes the ABC method to

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Methods and Practices for Institutional Benchmarking based on Research Impact and Competitiveness: A Case Study of ShanghaiTech University

differences, stay beneath the veil. In addition, institutions have preponderant disciplines, therefore benchmarking the research performance of entire institutions while ignoring disciplinary or internal unit-based performance could easily fail to serve the diagnosis and planning purpose of institutions. The San Francisco Declaration on Research Assessment (DORA) ( ASCB, 2016 ) and The Leiden Manifesto ( Hicks et al., 2015 ) discussed the problems and outlined good principles in research evaluation. In China, the General Office of the State Council issued “Opinions on

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Analyzing the Great Firewall of China Over Space and Time

References [1] Censorship Wiki. [2] Linux kernel source tree. http://git.kernel. org/cgit/linux/kernel/git/torvalds/linux.git/ tree/net/ipv4/inet_connection_sock.c?h= 4d0fa8a0f01272d4de33704f20303dcecdb55df1#n562. [3] tcp(7) - Linux man page. [4] Extensive Analysis and Large-Scale Empirical Evaluation of Tor Bridge Discovery. In INFOCOM, Orlando, FL, USA, 2012. IEEE. [5] Alexa. Alexa top sites in China. http

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The 1st International Conference on Data-driven Knowledge Discovery: When Data Science Meets Information Science. June 19–22, 2016, Beijing ⋅ China

The 1 st International Conference on Data - driven Knowledge Discovery : When Data Science Meets Information Science took place at the National Science Library (NSL), Chinese Academy of Sciences (CAS) in Beijing from June 19 till June 22, 2016. The Conference was opened by NSL Director Xiangyang Huang, who placed the event within the goals of the Library, and lauded the spirit of international collaboration in the area of data science and knowledge discovery. The whole event was an encouraging success with over 370 registered participants and highly

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