山东省地理空间数据管理办法征民意，2月25日截止

Core Viewpoint - The Shandong Provincial Department of Natural Resources and the Provincial Big Data Bureau jointly released the "Shandong Province Geospatial Data Management Measures (Draft for Comments)" to enhance geospatial data management, standardize data production, sharing, and innovative applications, supporting the construction of digital government and smart cities [1] Group 1: General Principles - The draft defines geospatial data as information containing geographic location and temporal aspects related to natural, economic, and social information, including basic geospatial data, thematic geospatial data, and remote sensing imagery [2] - It emphasizes principles such as coordinated management, centralized construction, unified standards, comprehensive aggregation, shared utilization, and security assurance, using national standards for spatial reference [2] Group 2: Responsibilities - The draft outlines responsibilities for various government levels and departments, with county-level governments leading coordination and promoting geospatial data construction, while the provincial big data and natural resources departments guide data aggregation and management [2] Group 3: Directory Management and Aggregation Governance - Unified directory management is mandated, with each level of big data departments and natural resources departments responsible for compiling data resource directories, which must include key information such as data items and update frequency [3] - The "one data, one source" principle is established for data aggregation, requiring geospatial data from government projects to be aggregated to the provincial integrated big data platform before project acceptance [3] Group 4: Development and Utilization - The draft specifies three modes of data utilization: sharing, open access, and authorized operation, with data sharing requiring application and stipulating response and provision timelines [4] - It encourages broad application of geospatial data in sectors like education, healthcare, transportation, and smart cities, promoting social participation in data development [4] Group 5: Remote Sensing Data Management - A dedicated chapter addresses remote sensing data management, mandating unified provincial organization and standards, with county-level management for data included in the unified directory [4] Group 6: Security and Supervision Management - The draft establishes a principle of accountability for data management and usage, requiring annual risk and security assessments, and outlining obligations for data usage units [5] - A performance evaluation mechanism for data sharing is to be established, with measures for correcting violations by data providers and users [5]