Journal of Agricultural Big Data ›› 2019, Vol. 1 ›› Issue (1): 24-36.doi: 10.19788/j.issn.2096-6369.190103

• Orginal Article • Previous Articles     Next Articles

Progress in the Development and Sharing of Big Data in Agricultural Science between China and Foreign Countries

Zhao Ruixue1,2,Zhao Hua1,2,*(),Zhu Liang1,2   

  1. 1. Institute of Agricultural Information, China Academy of Agricultural Sciences, Beijing, 100081
    2. Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing, 100081
  • Received:2018-08-12 Online:2019-03-26 Published:2019-04-04
  • Contact: Zhao Hua E-mail:zhaohua02@caas.cn

Abstract:

Big data in agricultural science refers to the mass of scientific data that has accumulated and been integrated over a long period in scientific and technological activities associated with agriculture. These data not only directly reflect the overall basic level of agricultural science and technology in a country, but also affect the sustained and stable development and improvement of agricultural science and technology in the long term; they are valuable for resource preservation, development and use. As part of data-intensive scientific research, big data in agriculture are basic strategic resources that support the development of innovations in agricultural science and technology, and the development of modern agriculture, which are related to the country's strategic interests and security. To promote sharing and use of scientific big data in agriculture, literature reviews, websites survey and comparative analysis have been conducted. This review summarizes the development strategies and sharing policy of scientific big data , and analyzes the progress of the development and sharing of big data in agriculture. Focusing on the future development of big data in agriculture and providing a reference for the development and sharing of such data in China, this review provides suggestions for policy formulation and implementation, data development models and resource integration, data opening and publication, and other issues.

Key words: big data, scientific data, agricultural scientific data, open access and sharing, data sharing

CLC Number: 

  • G203