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Journal of Library and Information Science in Agriculture ›› 2020, Vol. 32 ›› Issue (10): 25-34.doi: 10.13998/j.cnki.issn1002-1248.2020.10.20-0811

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• Agricultural scientific data • Previous Articles     Next Articles

A Review of Construction of Major Agricultural Open Scientific Data Resources

CHAI Miaoling1,3, HUANG Lin2, REN Yunyue2   

  1. 1. Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041;
    2. Sichuan University, School of Public Administration, Department of Library Science, Chengdu 610065;
    3. University of Chinese Academy of Sciences, School of Economics and Management, Department of Library Information and Archives Management, Beijing 100049
  • Received:2020-09-08 Online:2020-10-05 Published:2020-11-20

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Abstract: [Purpose/Significance] This paper systematically reviews the current situation and characteristics of major agricultural open scientific data resources, so as to provide references for a "digital government" to manage and use scientific data. [Method/Process] The concept and connotation of agricultural scientific data were determined, and the investigation and analysis were carried out from four dimensions: resource type and data format, the scope of a subject field, the method of knowledge organization and the service mode. Based on a survey of government agents, agricultural research institutions, universities and agricultural library and information institutions, this paper investigated important agricultural science data websites and platforms constructed by those organizations, and selected 165 Chinese papers and 167 English papers as supplementary references. [Results/Conclusions] Based on the needs of macro and meso management of agricultural science and technology, it is suggested to give full play to the role of scientific research institutions, universities, libraries and information institutions, governments and enterprises in terms of their advantages in resources and specific subject fields, collect and integrate multi-type and multi-discipline heterogeneous scientific data resources, strengthen the internal association and integration of data, and provide support for the transformation of a digital government.

Key words: agricultural, scientific data, review, open data, knowledge organization, service model

CLC Number: 

  • G250
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