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Big Data and Data Science Education in Traditional Chinese Medicine Informatics: Challenges and Opportunities

Received: 27 November 2021     Accepted: 20 December 2021     Published: 29 December 2021
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Abstract

With the rapid changes of scientific technologies, the explosion of big data and the current COVID-19 pandemic, the internal and external environments of traditional Chinese medicine (TCM) informatics are changing rapidly and the development of TCM informatics faces numerous challenges such as digital transformation. To meet the challenges, there is a strong need to apply big data and big data analytics and technologies to TCM informatics and to incorporate data science education into the programs of TCM informatics. The purpose of this paper is to identify the key challenges facing programs of TCM informatics, and to discuss the opportunities in data science education in TCM programs. The key identified challenges are how to enable students to have a good mastery of knowledge, skills and competencies of big data analytics and technologies and how to incorporate big data analytics and technologies and the key aspects of data science education into the curricula of TCM informatics. The main opportunities are that big data and data science education can assist in meeting the challenges facing TCM informatics and offer the analytics, technologies and applications needed to improve the learning, teaching and research outcomes and standards of TCM informatics and to review, revise and constantly update the teaching contents and curriculum knowledge system of TCM informatics. This paper will be useful and helpful to the programs of TCM informatics in their curriculum design as well as the application of big data analytics and technologies to teaching, learning and research, and to faculty, students, researchers and practitioners.

Published in American Journal of Information Science and Technology (Volume 5, Issue 4)
DOI 10.11648/j.ajist.20210504.15
Page(s) 109-113
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Big Data, Big Data Analytics, Data Science, Data Science Education, Traditional Chinese Medicine Informatics, Challenges, Opportunities

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  • APA Style

    Zhixian Yi, Hong Nie, Cao Dong, Jianhua Jiang, Fu Su, et al. (2021). Big Data and Data Science Education in Traditional Chinese Medicine Informatics: Challenges and Opportunities. American Journal of Information Science and Technology, 5(4), 109-113. https://doi.org/10.11648/j.ajist.20210504.15

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    ACS Style

    Zhixian Yi; Hong Nie; Cao Dong; Jianhua Jiang; Fu Su, et al. Big Data and Data Science Education in Traditional Chinese Medicine Informatics: Challenges and Opportunities. Am. J. Inf. Sci. Technol. 2021, 5(4), 109-113. doi: 10.11648/j.ajist.20210504.15

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    AMA Style

    Zhixian Yi, Hong Nie, Cao Dong, Jianhua Jiang, Fu Su, et al. Big Data and Data Science Education in Traditional Chinese Medicine Informatics: Challenges and Opportunities. Am J Inf Sci Technol. 2021;5(4):109-113. doi: 10.11648/j.ajist.20210504.15

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  • @article{10.11648/j.ajist.20210504.15,
      author = {Zhixian Yi and Hong Nie and Cao Dong and Jianhua Jiang and Fu Su and Zhenghui Wang and Hui Wang and Hekun Zeng},
      title = {Big Data and Data Science Education in Traditional Chinese Medicine Informatics: Challenges and Opportunities},
      journal = {American Journal of Information Science and Technology},
      volume = {5},
      number = {4},
      pages = {109-113},
      doi = {10.11648/j.ajist.20210504.15},
      url = {https://doi.org/10.11648/j.ajist.20210504.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20210504.15},
      abstract = {With the rapid changes of scientific technologies, the explosion of big data and the current COVID-19 pandemic, the internal and external environments of traditional Chinese medicine (TCM) informatics are changing rapidly and the development of TCM informatics faces numerous challenges such as digital transformation. To meet the challenges, there is a strong need to apply big data and big data analytics and technologies to TCM informatics and to incorporate data science education into the programs of TCM informatics. The purpose of this paper is to identify the key challenges facing programs of TCM informatics, and to discuss the opportunities in data science education in TCM programs. The key identified challenges are how to enable students to have a good mastery of knowledge, skills and competencies of big data analytics and technologies and how to incorporate big data analytics and technologies and the key aspects of data science education into the curricula of TCM informatics. The main opportunities are that big data and data science education can assist in meeting the challenges facing TCM informatics and offer the analytics, technologies and applications needed to improve the learning, teaching and research outcomes and standards of TCM informatics and to review, revise and constantly update the teaching contents and curriculum knowledge system of TCM informatics. This paper will be useful and helpful to the programs of TCM informatics in their curriculum design as well as the application of big data analytics and technologies to teaching, learning and research, and to faculty, students, researchers and practitioners.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Big Data and Data Science Education in Traditional Chinese Medicine Informatics: Challenges and Opportunities
    AU  - Zhixian Yi
    AU  - Hong Nie
    AU  - Cao Dong
    AU  - Jianhua Jiang
    AU  - Fu Su
    AU  - Zhenghui Wang
    AU  - Hui Wang
    AU  - Hekun Zeng
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    N1  - https://doi.org/10.11648/j.ajist.20210504.15
    DO  - 10.11648/j.ajist.20210504.15
    T2  - American Journal of Information Science and Technology
    JF  - American Journal of Information Science and Technology
    JO  - American Journal of Information Science and Technology
    SP  - 109
    EP  - 113
    PB  - Science Publishing Group
    SN  - 2640-0588
    UR  - https://doi.org/10.11648/j.ajist.20210504.15
    AB  - With the rapid changes of scientific technologies, the explosion of big data and the current COVID-19 pandemic, the internal and external environments of traditional Chinese medicine (TCM) informatics are changing rapidly and the development of TCM informatics faces numerous challenges such as digital transformation. To meet the challenges, there is a strong need to apply big data and big data analytics and technologies to TCM informatics and to incorporate data science education into the programs of TCM informatics. The purpose of this paper is to identify the key challenges facing programs of TCM informatics, and to discuss the opportunities in data science education in TCM programs. The key identified challenges are how to enable students to have a good mastery of knowledge, skills and competencies of big data analytics and technologies and how to incorporate big data analytics and technologies and the key aspects of data science education into the curricula of TCM informatics. The main opportunities are that big data and data science education can assist in meeting the challenges facing TCM informatics and offer the analytics, technologies and applications needed to improve the learning, teaching and research outcomes and standards of TCM informatics and to review, revise and constantly update the teaching contents and curriculum knowledge system of TCM informatics. This paper will be useful and helpful to the programs of TCM informatics in their curriculum design as well as the application of big data analytics and technologies to teaching, learning and research, and to faculty, students, researchers and practitioners.
    VL  - 5
    IS  - 4
    ER  - 

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Author Information
  • School of Information and Communication Studies, Faculty of Arts and Education, Charles Sturt University, Wagga, Australia

  • Guangdong Province Key Laboratory of Pharmacodynamics Constituents of TCM and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, China

  • School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China

  • Department of Data Science, Jilin University of Finance and Economics, Changchun, China

  • Department of Management Science, School of Management, Guizhou University of Commerce, Guiyang, China

  • School of Literature and Law, East China University of Technology, Nanchang, China

  • Foreversafe Cloud Technology Co., Ltd, Shenzhen, China

  • Guangdong Province Key Laboratory of Pharmacodynamics Constituents of TCM and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, China

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