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

Zhixian Yi; Hong Nie; Cao Dong; Jianhua Jiang; Fu Su; Zhenghui Wang; Hui Wang; Hekun Zeng

doi:doi:10.11648/j.ajist.20210504.15

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

Zhixian Yi, Hong Nie, Cao Dong, Jianhua Jiang, Fu Su, Zhenghui Wang, Hui Wang, Hekun Zeng

Published in American Journal of Information Science and Technology (Volume 5, Issue 4)

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), 2024. 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
Y1  - 2021/12/29
PY  - 2021
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

Zhixian Yi

School of Information and Communication Studies, Faculty of Arts and Education, Charles Sturt University, Wagga, Australia
Hong Nie

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

School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China
Jianhua Jiang

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

Department of Management Science, School of Management, Guizhou University of Commerce, Guiyang, China
Zhenghui Wang

School of Literature and Law, East China University of Technology, Nanchang, China
Hui Wang

Foreversafe Cloud Technology Co., Ltd, Shenzhen, China
Hekun Zeng

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

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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

Copy | Download

@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}
}

Copy | Download

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
Y1  - 2021/12/29
PY  - 2021
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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