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    Analysis and Evaluation of Chinese Open Government Agricultural Data
    JIANG Enbo, LI Na
    Journal of Library and Information Science in Agriculture    2020, 32 (10): 4-15.   DOI: 10.13998/j.cnki.issn1002-1248.2020.10.20-0454
    Abstract220)      PDF(pc) (1413KB)(131)       Save
    [Purpose/Significance] The Ministry of Agriculture and Rural Affairs of China and the agricultural administrative departments of various provinces play a major role in promoting agricultural and rural big data development. This paper aims to learn, analyze and evaluate the data publishing, sharing, standardization and applications by investigating the open governmental agricultural data in 31 provinces, autonomous regions and municipalities in the mainland of China, and propose suggestions for improvement accordingly. [Method/Process] We investigated the open government platforms built by 31 provinces (autonomous regions and municipalities), sorted out the content published in these platforms, and standardized and summarized the investigation data. We made an analysis based on the update time of data, license of data applications, and download of data. Meanwhile, combined with FAIR data principles, we evaluated the data from the findability, accessibility, interoperability and reuse of the data.[Results/Conclusions] At present, the management, publishing and sharing of agricultural data in China is at an elementary stage. Although various governments formulated regulations and policies, the implementation of these regulations and policies is unsatisfactory. The Ministry of Agriculture and Rural Affairs of China should join hands with the agricultural administrative departments of various provinces to promote the opening and use of government agricultural data. Meanwhile, they should be in line with the construction mode of the international open government data and improve their capabilities in data publishing, management and services.
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    Applications of Dynamic Trust Management Model in Agricultural Scientific Data Security
    WU Dingfeng, LIU Tingting, WANG Jian, HU Lin
    Journal of Library and Information Science in Agriculture    2020, 32 (10): 16-24.   DOI: 10.13998/j.cnki.issn1002-1248.2020.10.20-0444
    Abstract174)      PDF(pc) (2507KB)(91)       Save
    [Purpose/Significance] In order to meet the needs of intensive agricultural data research, the security protection of agricultural data needs to be developed in a dynamic and adaptive direction. Trust management is one of the core means to ensure data security, the dynamic research and application exploration of its management model is of great significance. [Method/Process] This paper reviews the development process and theoretical framework of dynamic trust management model, analyzes the characteristics of the whole life cycle of agricultural data, summarizes the practical needs of trust management of agricultural data, and expounds the rationality and feasibility of practicing the dynamic trust management model in the field of agricultural data security. On the basis of the above research, combined with the business characteristics of agricultural research itself, this paper explores the application methods and key points of dynamic trust management model in the field of agricultural data security from the aspects of user trust, equipment trust and application trust. [Results/Conclusions] At the end of this paper, the application prospect and future development direction of dynamic trust management model are prospected. The possibility and necessity of expansion and development of a dynamic trust management model to dynamic traffic management and dynamic authorization management, as well as combining with SDP, are discussed.
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    A Review of Construction of Major Agricultural Open Scientific Data Resources
    CHAI Miaoling, HUANG Lin, REN Yunyue
    Journal of Library and Information Science in Agriculture    2020, 32 (10): 25-34.   DOI: 10.13998/j.cnki.issn1002-1248.2020.10.20-0811
    Abstract225)      PDF(pc) (1186KB)(154)       Save
    [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.
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