数字政府大数据治理平台建设方案

一、建设目标   本次区级大数据资源平台建设项目将围绕和遵循XX区智慧城市建设总体统筹规划思想的指导下，按照S市大数据中心对市区两级大数据资源平台建设统一标准规范的要求下，以实际需求为导向，搭建XX区大数据资源平台，加快推进与承接S市大数据资源平台的落地数据资源，归集区内各单位公共数据资源，按需实现共享交换，逐步构建形成XX区公共数据汇聚、整合、共享、应用、展示、评价为“六位一体”的大数据资源体系，并通过构建XX区数据基础库、专题库和主题库为核心的数据资产，充分挖掘与发挥数据应用价值，构建数据集成、数据共享、数据管理、数据决策的综合管理服务体系，确保大数据平台全面支撑XX区公共数据协同服务、城区管理协同服务、惠民数据协同服务和兴业数据协同服务，实现全区的业务数据闭环，为全区经济建设、规划布局，城市管理等实现全方位的数据赋能。加快推进实现如下要求：   1）聚：推进与市级人口、法人、空间地理库的数据集成，促进电子证照库对接利用；逐步推进视频数据、物联数据以及基层业务数据等采集汇聚；逐步推进XX区级各部门的数据汇聚。   2）管：构建一站式数据资产管理平台，通过与市级数据平台级联实现区内上报数据的落地，结合区内情况进行本地数据资产目录的管理，形成对数据的全生命周期管理，以及各环节安全监管。   3）通：实现基于应用场景的数据资源授权管理机制，推动公共数据按需充分共享。实现数据分级分类开放管理，扩展共享交换平台功能。   4）用：开展主题数据库建设，推动数据资源整合及数据分析应用。开展数据应用模型及算法研究，探索数据服务模式创新；推进区级跨部门数据智能应用的行业能力平台建设。   5）安：打造整体安全管控体系，保证平台上政务数据在数据汇聚、数据管理、数据共享、数据开放等全生命周期中的安全防护能力。二、建设内容     区级大数据资源平台项目建设的主要目标是要搭建XX区统一的大数据资源管理平台并实现基础功能架构，出台相关管理办法，支撑全区各政务部门的数据共享需求；建立大数据资源中心，完成标准化数据仓库的建设，并构建基础及融合数据库，为全区的政务处理、经济发展、社会民生、城市管理、乡村振兴等实现数据赋能。  建设统一的大数据资源管理与应用平台：建设包含数据支撑底座、数据交换子平台、数据整理治理子平台、数据服务子平台，数据分析支撑子平台以及数据资源门户为核心功能的大数据资源平台，实现大数据综合管理与服务功能；  启动区级大数据资源中心建设：完成标准化数据仓库的设计与规划建设，并完成与区各委办业务与管理系统、S市大数据资源平台以及物联网相关平台数据的对接，汇聚各类业务数据，构建区级大数据资源中心；  在XX区资源中心数据湖基础上，建设基础数据库，包括人口综合库、法人综合库、电子证照库以及地理空间库，为全区各政务部门提供人口、法人、证照与地理空间相关的数据服务；  在区级资源中心数据湖以及基础库的基础上，持续深入大数据资源的建设与应用探索，基本完成支撑全区一网通办、一网统管、城市规划、应急指挥等主题的资源归集，并形成相关的专题库和主题库；  建立统一的政府数据信息资源目录，建立动态更新机制，明确全区各部门可向其他政府机构共享的公共数据，建立全区统一的数据交换共享平台及数据中心，对上对下实现垂直共享，横向打通各部门间的数据交换共享，实现部门间业务协同和指挥联动；  充实现有管理功能，形成共享工作体制和制度。   1、建设数据交换子平台   建设全区统一的数据数据交换子平台，形成公共数据归集、交换、共享的核心枢纽；打通全区各单位之间数据资源共享通道，实现双向数据互通。具体，在本次区级大数据资源平台建设项目中，数据交换子平台的建设内容包括：  数据交换配置：提供数据交换配置功能，能够提供对于交换周期，时间的交换策略配置、接口配置交换任务配置功能；  数据服务管理：提供数据服务管理功能，将清洗后的数据以及场景化分析后的数据注册为数据服务，统一进行管理与对外共享；  数据共享接口：将清洗后的数据以及场景化分析后的数据注册到服务管理系统中，统一进行对外共享，并且对共享行为进行统一管理和审计；  数据交换监控：提供数据交换监控功能，实时监控交换过程中核心服务运行状况，包括交换平台整体运行状态、交换域运行状态、交换节点运行状态、交换流程运行状态等，保障数据交换稳定。  2、建设数据治理子平台   建设大数据治理子平台，提供数据标准管理、元数据管理、数据质量管理能力，实现对数据的规范治理与管理；提供数据工厂能力，实现对归集的数据进行清洗、加工，支撑业务的数据应用需求。具体，在本次区级大数据资源平台建设项目中，数据治理子平台的建设内容包括：   资源目录管理：提供资源目录管理功能，包括：资源编目、目录提交、目录审核、目录发布、目录汇总、目录查询等；   数据标准管理：提供数据标准管理功能，包括：字典标准管理、命名标准管理、维度标准管理及数据项标准管理；   元数据管理：提供元数据管理功能，包括：元数据正向采集、元数据维护、元数据查询、元数据导入/导出、元数据血缘分析；   数据质量管理：提供数据质量管理功能，包括：质量模型配置、质量规则管理、方案配置调度、质检结果查看、质检分析报告；   数据开发平台：提供数据开发平台能力，支持可视化开发和原生态开发两种开发模式，实现原生态开发与可视化编排的互相转换；   统一调度管理：提供统一调度管理功能，提供流程设计与管理、调度策略管控、任务调度控制、等功能模块。  3、建设数据资源门户   建设统一的数据资源门户，有效集成整合各子平台应用功能模块，数据资源目录整合、统一用户账号、组织架构、角色权限、业务流程、信息展示以及统一运维等方面的管理，全面打造面向各单位工作人员的一体化统一数据管理与应用门户。   利用数据资源门户推动全区公共数据和社会数据的交互和开放使用，加强政企数据互动、加快统一公共数据归集、强化数据管理治理、探索数据应用，促进数据共享协同与开放，为提升全区政府治理能力，实现管理向服务转变提供支撑。具体，在本次区级大数据资源平台建设项目中，数据资源门户的建设内容包括：   门户首页：提供门户首页，在首页可以看到共享目录数量、共享资源数量、推荐目录和接口、信息资源；   统一用户管理：提供统一用户管理功能，实现统一组织架构、人员管理，对用户的属性、权限进行划分设定；   统一认证管理：提供对用户身份的统一管理与统一的系统用户身份认证服务；   整合资源管理：提供统一的数据资源整合服务，包括：资源检索、资源查询、资源展示、资源申请等；   统一审批管理：提供统一的流程审批管理功能，包括：流程发起、流程流转、流程审批等；   统一消息管理：提供统一消息管理功能，包括：消息类型管理、消息渠道管理、通用规则管理、自定义规则管理、消息过期、消息发送；   统一日志管理：提供多种日志记录方式，并支持日志提醒与日志分析、日志审计管理；   数据资产管理：提供数据资产管理功能，包括：数据资产分类管理、资产目录、资产地图、资产版本管理、资产统计管管理；   资源目录服务：提供资源目录服务功能，实现资源目录对外共享，并提供目录查询、目录统计等服务；   统一监控运维：提供统一监控运维功能，保证整个数据资源平台的稳定与高效运行，并提升数据资源全生命周期的保障执行力和运维效率。具体功能包括：   提供监控资源管理功能，支持资源模型的增删改基本维护操作，创建需要管理的资源对象，并对所有被监管对象进行集中管理；   提供基础资源监测功能，对整个平台所涉及到的服务器、存储、操作系统、中间件等基础实施进行监控；   提供应用系统监控功能，对平台的各个应用服务的运行情况进行监控，及时发现故障与风险，并告警；三、平台总体蓝图    针对区级大数据资源平台的建设，我们将基于当前主流的大数据技术框架为XX区搭建一个大数据管理与应用平台。利用数据平台的数据采集功能，将XX区各级政府单位的政务数据、城市管理相关的监控视频等物联数据、企业事业单位数据，互联网等社据汇聚起来，形成统一的XX区级大数据资源池。   之后，在利用平台的数据治理与建模开发能力，将采集到的数据有效地进行分类整理与融合，构建诸如综合人口库、产业经济主题库、旅游数据库、菜园花鸟数据库，乡村产业经济振兴库等数据应用服务，并利用统一门户将相关数据应用对外开放，向XX区各级单位、企事业单位等用户提供数据服务，由此构建XX区的数据资源中心，实现对全区政务等数据的集中汇聚、统一管理与共享利用，为全区政务处理与经济发展提供数据支撑四、平台架构    区级大数据资源平台平台基于基础设施（网络&技术&存储）、技术标准体系规范及信息安全保障体系建设数据支撑底座、数据交换、数据资源中心（基础及融合数据库）、数据整理治理、数据服务、数据分析、数据共享应用及数据资源门户模块，并实现与S市大数据资源平台的共享与交换。

1. Construction Objectives
This district-level big data resource platform construction project will, under the guidance of the overall coordinated planning philosophy of XX District's smart city construction and in accordance with the unified standard specifications for the construction of municipal and district-level big data resource platforms issued by the S City Big Data Center, build the XX District Big Data Resource Platform based on actual demands. It will accelerate the promotion and undertaking of the deployed data resources from the S City Big Data Resource Platform, collect public data resources from various intra-district units, realize on-demand sharing and exchange, and gradually build a "six-in-one" big data resource system for XX District covering public data collection, integration, sharing, application, display and evaluation. Furthermore, by building data assets centered on the XX District basic data repository, special subject repositories and thematic repositories, we will fully explore and leverage the value of data applications, construct a comprehensive management and service system for data integration, data sharing, data management and data decision-making, ensure that the big data platform comprehensively supports XX District's public data collaborative services, urban management collaborative services, people-oriented data collaborative services and industrial development data collaborative services, realize the closed-loop of business data across the district, and provide all-round data empowerment for the district's economic construction, planning layout, urban management and other aspects. We will accelerate the realization of the following requirements:
1) Collection: Promote data integration with the municipal population, legal entity and spatial geographic repositories, facilitate the docking and utilization of the electronic certificate repository; gradually promote the collection and aggregation of video data, IoT data and grass-roots business data; gradually promote the data aggregation of various XX District-level departments.
2) Management: Build a one-stop data asset management platform, realize the deployment of intra-district reported data by interconnecting with the municipal data platform, manage the local data asset catalog based on the district's actual situation, form full-life-cycle data management and security supervision for each link.
3) Sharing & Exchange: Establish an application scenario-based data resource authorization management mechanism, promote full and on-demand sharing of public data. Implement classified and graded open management of data, and expand the functions of the sharing and exchange platform.
4) Application: Carry out the construction of thematic databases, promote data resource integration and data analysis applications. Conduct research on data application models and algorithms, explore innovations in data service models; promote the construction of district-level cross-departmental data intelligent application industry capability platforms.
5) Security: Build an overall security management and control system to ensure the security protection capabilities of government affairs data on the platform throughout the full life cycle of data collection, data management, data sharing and data opening.

2. Construction Content
The main objective of the district-level big data resource platform project is to build the unified XX District big data resource management platform and realize its basic functional architecture, formulate relevant management measures to support the data sharing needs of various government departments in the district; establish a big data resource center, complete the construction of a standardized data warehouse, and build basic and integrated databases to provide data empowerment for the district's government affairs processing, economic development, social livelihood, urban management, rural revitalization and other aspects.
- Build a unified big data resource management and application platform: Build a big data resource platform with core functions including data support base, data exchange sub-platform, data organization and governance sub-platform, data service sub-platform, data analysis support sub-platform and data resource portal, to realize big data comprehensive management and service functions;
- Launch the construction of the district-level big data resource center: Complete the design, planning and construction of the standardized data warehouse, complete the docking of data with various district-level commission and office business and management systems, the S City Big Data Resource Platform and IoT-related platforms, collect all types of business data, and build the district-level big data resource center;
- Based on the XX District Resource Center data lake, build basic databases including the comprehensive population repository, comprehensive legal entity repository, electronic certificate repository and spatial geographic repository, to provide data services related to population, legal entities, certificates and spatial geography for various government departments in the district;
- Based on the district-level resource center data lake and basic databases, continue to deepen the exploration of big data resource construction and application, basically complete the resource collection supporting themes such as the district's One-Stop Online Services, Unified Urban Management Online, urban planning, emergency command and other themes, and form relevant special subject repositories and thematic repositories;
- Establish a unified government data and information resource catalog, establish a dynamic update mechanism, clarify the public data that various district departments can share with other government agencies, build a district-wide unified data exchange and sharing platform and data center, realize vertical sharing from top to bottom and horizontally break through data exchange and sharing between departments, and realize business collaboration and command linkage between departments;
- Improve existing management functions and form a sharing work system and regulations.

1. Construction of Data Exchange Sub-platform
Build a district-wide unified data exchange sub-platform to form a core hub for public data collection, exchange and sharing; break through data resource sharing channels between various district units to realize two-way data interconnection. Specifically, the construction content of the data exchange sub-platform in this district-level big data resource platform construction project includes:
- Data Exchange Configuration: Provide data exchange configuration functions, including exchange strategy configuration for exchange cycles and time, interface configuration and exchange task configuration functions;
- Data Service Management: Provide data service management functions, register cleaned data and scenario-analyzed data as data services for unified management and external sharing;
- Data Sharing Interface: Register cleaned data and scenario-analyzed data into the service management system for unified external sharing, and conduct unified management and audit of sharing behaviors;
- Data Exchange Monitoring: Provide data exchange monitoring functions to monitor the operating status of core services during the exchange process in real time, including the overall operating status of the exchange platform, exchange domain operating status, exchange node operating status, exchange process operating status, etc., to ensure stable data exchange.

2. Construction of Data Governance Sub-platform
Build a big data governance sub-platform, provide data standard management, metadata management and data quality management capabilities to realize standardized governance and management of data; provide data factory capabilities to clean and process collected data to support business data application needs. Specifically, the construction content of the data governance sub-platform in this district-level big data resource platform construction project includes:
- Resource Catalog Management: Provide resource catalog management functions including: resource cataloging, catalog submission, catalog review, catalog release, catalog summarization, catalog query, etc.;
- Data Standard Management: Provide data standard management functions including: dictionary standard management, naming standard management, dimension standard management and data item standard management;
- Metadata Management: Provide metadata management functions including: forward metadata collection, metadata maintenance, metadata query, metadata import/export, metadata lineage analysis;
- Data Quality Management: Provide data quality management functions including: quality model configuration, quality rule management, solution configuration and scheduling, quality inspection result viewing, quality inspection analysis reports;
- Data Development Platform: Provide data development platform capabilities, support two development modes: visual development and native development, and realize mutual conversion between native development and visual orchestration;
- Unified Scheduling Management: Provide unified scheduling management functions, including process design and management, scheduling strategy control, task scheduling control and other functional modules.

3. Construction of Data Resource Portal
Build a unified data resource portal, effectively integrate and consolidate the application function modules of each sub-platform, manage data resource catalog integration, unified user accounts, organizational structure, role permissions, business processes, information display and unified operation and maintenance, and comprehensively create an integrated unified data management and application portal for staff of various units.
Use the data resource portal to promote the interaction and open use of public data and social data across the district, strengthen government-enterprise data interaction, accelerate unified public data collection, strengthen data management and governance, explore data applications, promote data sharing, collaboration and opening up, and provide support for improving the district's government governance capabilities and realizing the transformation from management to service. Specifically, the construction content of the data resource portal in this district-level big data resource platform construction project includes:
- Portal Homepage: Provide a portal homepage where users can view the number of shared catalogs, the number of shared resources, recommended catalogs and interfaces, and information resources;
- Unified User Management: Provide unified user management functions to realize unified organizational structure and personnel management, and divide and set user attributes and permissions;
- Unified Authentication Management: Provide unified management of user identities and unified system user identity authentication services;
- Integrated Resource Management: Provide unified data resource integration services including: resource retrieval, resource query, resource display, resource application, etc.;
- Unified Approval Management: Provide unified process approval management functions including: process initiation, process circulation, process approval, etc.;
- Unified Message Management: Provide unified message management functions including: message type management, message channel management, general rule management, custom rule management, message expiration, message sending;
- Unified Log Management: Provide multiple log recording methods, and support log reminder, log analysis and log audit management;
- Data Asset Management: Provide data asset management functions including: data asset classification management, asset catalog, asset map, asset version management, asset statistical management;
- Resource Catalog Service: Provide resource catalog service functions to realize external sharing of resource catalogs and provide services such as catalog query and catalog statistics;
- Unified Monitoring and Operation & Maintenance: Provide unified monitoring and operation & maintenance functions to ensure the stable and efficient operation of the entire data resource platform, and improve the execution capability and operation & maintenance efficiency of data resource full-life-cycle guarantee. The specific functions include:
- Provide monitoring resource management functions, support basic maintenance operations for adding, deleting and modifying resource models, create resource objects that need to be managed, and centrally manage all supervised objects;
- Provide basic resource monitoring functions to monitor basic infrastructures such as servers, storage, operating systems, middleware involved in the entire platform;
- Provide application system monitoring functions to monitor the operating status of each application service of the platform, detect faults and risks in time, and issue alarms.

3. Overall Platform Blueprint
For the construction of the district-level big data resource platform, we will build a big data management and application platform for XX District based on the current mainstream big data technology framework. Using the data collection function of the data platform, we will collect government data from various government units at all levels in XX District, IoT data such as monitoring videos related to urban management, data from enterprises and public institutions, and social data from the Internet and other sources to form a unified XX District-level big data resource pool.
Subsequently, using the platform's data governance and modeling and development capabilities, we will effectively classify, organize and integrate the collected data, build data application services such as the comprehensive population repository, industrial economy thematic repository, tourism database, garden and flower database, rural industrial economy revitalization repository, etc., and open relevant data applications to the outside world through the unified portal, provide data services to users such as various units at all levels in XX District, enterprises and public institutions, thereby building the XX District data resource center, realizing centralized collection, unified management and shared utilization of government affairs data and other data across the district, and providing data support for the district's government affairs processing and economic development.

4. Platform Architecture
The district-level big data resource platform will build data support base, data exchange, data resource center (basic and integrated databases), data organization and governance, data service, data analysis, data sharing and application and data resource portal modules based on infrastructure (network & technology & storage), technical standard system specifications and information security guarantee system, and realize sharing and exchange with the S City Big Data Resource Platform.

搜集汇总

背景与挑战

背景概述

该数据集详细阐述了XX区大数据资源管理平台的建设方案，旨在构建统一的数据汇聚、治理与共享体系，通过建立基础数据库和专题库支撑政务服务和城市管理。方案涵盖数据交换、治理、服务等子平台建设，并规划了与市级平台的对接机制。