| 摘要: |
| 文章针对当前科技管理存在效率低、决策数据缺乏等短板问题，通过对智慧及智慧农业的认识和理解，提出了智慧型科技管理体系的内涵；以面向科研人员科技创新精准服务的“资源供给能力、分析挖掘能力、数据治理能力、个性化服务能力”提升为目标，进行了体系构架思路、组成模块和全要素的分析、设计和思考；并以团队近年来构建的“互联网+科技管理”的科研数据全程管理大数据综合服务平台和精准服务模式为实例，介绍了团队在智慧科管方面开展的相关探索工作和取得的成绩，为科研院所、高校开展相关管理工作、提升科研创新体系整体效能提供参考。 |
| 关键词: 智慧科管 资源供给 分析挖掘 数据治理 模式构建 |
| DOI： |
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| Conceiving and Preliminary Exploration of Constructing Smart Science and Technology Management System |
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libin, sun xiaodong, yan hua, chen wentao, chu nongnong, chen yimei
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Beijing Research Center for Information Technology in Agriculture
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| Abstract: |
| The article addresses the problems of current science and technology management with low efficiency and lack of decision-making data, the connotation of a smart science and technology management system was proposed based on the understanding of wisdom and smart agriculture. Resource supply ability, analysis and mining ability, data governance ability, and personalized service ability were set as the goal, and the analysis, design, and thinking of the system's architectural ideas, component modules, and all elements were carried out. Finally, the "Internet + technology management" scientific data management process of big data comprehensive service platform and precise service model were taken as examples to introduce the team's related exploration work and achievements in smart scientific management in recent years, which provides a reference for scientific research institutes and universities to improve the overall efficiency of the scientific research and innovation system. |
| Key words: Smart science and technology management resource supply analysis and mining data governance model construction |