Journal of Agricultural Big Data >
Application and Prospects for Big Data of Traditional Chinese Medicine Resources
Received date: 2020-11-10
Online published: 2021-05-18
Big data refers to the collection of massive amounts of information, and it has four characteristics: large amounts of data; strong real-time performance; multiple types of data; and valuable data. Following the rapid development of computer science and information technology, big data has been widely applied in the field of health and medicine. China has undergone major improvement to its national big data resources. In conjunction with that process and the promotion of the Belt and Road Initiative, the need to upgrade and transform China’s traditional medicine resource industry has clearly emerged. Integrating China’s traditional medicine resource industry with big data analysis technology can effectively promote the development of industries related to such medicine as well as in-depth research. The comprehensive development of big data of traditional Chinese medicine resources has increasingly become an important driving force in developing related industries. With respect to traditional Chinese medicine resources, big data mainly involves the accumulation and processing of large volumes of information, such as the following: the number of types of traditional Chinese medicine resources; the spatial distribution of plant and animal species used in traditional Chinese medicine; the number of industrial resources; changes in the availability of resources; cultivating plant and animal species for traditional Chinese medicine versus harvesting them from the wild; the amount of resources that need to be purchased; demand level; supply level; the quality of materials used in traditional Chinese medicine; and knowledge related to the application of such medicine. Analyzing those data can exert a vital influence on overall planning related to the resource industry for traditional Chinese medicine. Accordingly, an opportune assessment of the application and development of big data technology for Chinese medicine resources can better guide the direction of future research. The present study begins with an application of big data technology to traditional Chinese medicine resources. This paper summarizes the current status regarding the development of resource databases for traditional Chinese medicine. This study made use of dynamic monitoring stations for traditional Chinese medicine resources; it also describes how research has progressed with respect to the application of big data technology for resources for traditional Chinese medicine. This study concludes with suggestions for problems that may occur in developing big data technology for Chinese medicine resources. This article covers scientific planning and offers guidance for the sustainable development of the resources industry for Chinese medicine; it sets a foundation for additional high-quality research into clinical treatment for traditional Chinese medicine as well as the pursuit of careers in such medicine.
Mingxu Zhang, Yuan Chen, Tuya Xilin, Ru Zhang, Yaqiong Bi, Chunhong Zhang, Taotao Wu, Minhui Li . Application and Prospects for Big Data of Traditional Chinese Medicine Resources[J]. Journal of Agricultural Big Data, 2021 , 3(1) : 14 -24 . DOI: 10.19788/j.issn.2096-6369.210102
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