Page 250 - Journal of Library Science in China, Vol.47, 2021
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                           Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China, Vol.47, 2021  249


               development of the digital economy are the research goals of Datametrics. For different disciplines,
               the arrival of the big data era brings both opportunities and challenges. Big data will transform
               the research paradigm of traditional disciplines, and it will also bring a new research paradigm—
               the data paradigm to the development of various disciplines. At present, big data has become the
               focus of attention in various disciplines, especially in computer, statistics, management, and other
               disciplines. The fields of computer science and statistics have performed particularly prominently
               in big data research, and they even fought for the ownership of the discipline of data science
               spawned in the era of big data.

                 From Bibliometrics to the development of Datametrics, Data Science, and Five Metrics,
               the relationship and course between them is a process of mutual connection and continuous
               development. With the development of big data, the trend of data research in the discipline of
               library and information science is highly integrated with other disciplines, and new discipline-data
               metrology has emerged.
                 Datametrics is an interdisciplinary field that has emerged in recent years. It mainly studies the
               measurement and analysis of data and the process of data measurement and analysis by extracting
               data from various structured or unstructured data. It is the development and extension of statistics,
               computer science, data analysis, machine learning, and data mining in the field of data analysis.
               At the same time, in the era of data intelligence, data has the advantage of quantitative analysis.
               Many qualitative and continuous objects are displayed in the form of data for easy analysis and
               processing.
                 On the basis of explaining the construction background, research status, subject concept, and
               content system of Datametrics, this paper profoundly discusses the future development trend and
               broad prospects of Datametrics, and proposes that Datametrics presents discipline integration
               quantification and practicality, and intelligence. It points out the problems and directions for
               the further development and breakthrough of Datametrics. It is a brand-new interdisciplinary
               and frontier subject emerging under the background of big data, and it has a good development
               prospect.




               Data governance in international standards: concepts, perspectives and the
               ways to standardization collaboration
               AN Xiaomi, XU Jicang, WANG Lili, HUANG Jie  & HU Jufang
                                               〇a*
               With the development of big data, Internet of Things and smart cities, data governance is
               becoming the core issues and concerns in the inter-disciplined frontiers to ensure big data with 5v
               characteristics to assist intelligent decision making and value realization. This paper synthesizes


               *Correspondence should be addressed to HUANG Jie, Email:huangjie2018@ruc.edu.cn, ORCID:0000-0002-2794-5157.
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