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规划和自然资源部门数据治理的研究和建议 被引量:1

Research and Suggestions on Data Governance of Planning and Natural Resources Department
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摘要 运用大数据助力经济发展、改善社会治理、提高政府服务和监管能力逐渐成为新趋势。自然资源部门作为山水林田湖草的“大管家”,管理着大量的国土空间规划、自然资源、地理信息数据,特别是绝大部分与空间相关的矢量数据。规划和自然资源部门收集、整理、挖掘和应用上述数据的能力,直接反映自然资源管理和服务水平。在信息化充分发展的时代,如何借助信息化手段实现规划和自然资源数据的高效管理及有效利用,建立规划和自然资源数据治理体系,是规划和自然资源从业人员面临的首要任务。本文结合作者多年的信息化和数据处理工作经历,从机制建设、标准化体系建设、数据分析与挖掘、数据服务能力提升等方面对规划和自然资源数据治理体系进行研究,并结合实践对规划和自然资源数据治理的相关探索进行阐述,为实施数据治理推进创新发展提供参考。 Using big data to help economic development,reform social governance,improve government services and regulatory capabilities has gradually become a new trend.As the"housekeeper"of mountains,rivers,forests,fields,lakes and grasses,the natural resources department manages a large number of land spatial planning,natural resources and geographic information data,especially the vast majority of data are vector data related to space.The ability to collect,collate,mine and apply the above data will directly reflect the level of natural resource management and services.In recent years,how to realize the efficient management and utilization of planning and natural resource data by information means,and to establish a planning and natural resources data governance system is the primary task for planning and natural resource practitioners.Based on the author′s years of experience in informatization and data processing,this paper studies the planning and natural resources data governance system from the aspects of mechanism construction,standardization system construction,data analysis and mining,and data service capacity improvement,and expounds the relevant exploration of planning and natural resources data governance in combination with practice,so as to provide reference for implementing data governance and promoting innovative development.
作者 施仲添 SHI Zhongtian(Hangzhou Planning and Natural Resources Investigation and Survey Center,Hangzhou 310012,China)
出处 《测绘与空间地理信息》 2022年第10期140-142,146,共4页 Geomatics & Spatial Information Technology
关键词 自然资源 数据治理 研究 建议 natural resources data governance research suggestions
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