农业大数据学报2026，Vol.8Issue(2)：212-223,12.DOI:10.19788/j.issn.2096-6369.000154
农业可信数据空间构建与建议
Construction of Agricultural Trusted Data Space and Recommendations
摘要
Abstract
With the continuous deepening of market-oriented reforms in the allocation of data as a production factor,data has become a core engine driving the development of new-quality productivity in agriculture.In China,agricultural data originate from diverse sources and span a wide range of production and management stages;however,the efficiency of data sharing and circulation remains low,and the value of data elements has yet to be fully unlocked.As a novel infrastructure for data circulation,the Trusted Data Space(TDS)enables trusted data sharing and compliant circulation by ensuring data are usable but not exposed,controllable data sovereignty,and full-process traceability,thereby providing an effective approach to resolving the tension between data security and data sharing.Establishing an Agricultural Trusted Data Space(ATDS)is an important initiative to promote the efficient allocation of agricultural data elements,empower the high-quality development of smart agriculture,and cultivate new-quality productivity in agriculture.Accordingly,based on a systematic review of the current development status of ATDS in China,this paper proposes a technical framework encompassing the functional structure,technical architecture,and key enabling technologies.It further provides an in-depth analysis of the major challenges encountered in the construction of ATDS and offers targeted countermeasures and recommendations from four dimensions:policy guidance,technological research and development,institutional innovation,and the implementation of application scenarios,with the aim of providing a theoretical basis and practical reference for the construction and implementation of ATDS.关键词
农业可信数据空间/可信数据流通/农业数据治理/数据要素市场化配置/农业新质生产力Key words
agricultural trusted data space/trusted data circulation/agricultural data governance/market-oriented allocation of data elements/new-quality productivity in agriculture引用本文复制引用
柏晓娜,黄文倩,李绍稳..农业可信数据空间构建与建议[J].农业大数据学报,2026,8(2):212-223,12.基金项目
中国工程院战略研究与咨询重点课题"新质生产力引领安徽省现代农业建设路径研究"(项目编号:2025-AHYJY-05-3). （项目编号:2025-AHYJY-05-3）
