公共大数据资源中心与能力平台建设项目可行性研究报告_287页_7mb

Public Big Data Resource Center and Capability Platform Project Summary

Introduction and Objectives

The project aims to build a public big data resource center in M区 to integrate and manage data efficiently. The primary goals include establishing a unified data platform to support decision-making, enhance urban governance, and achieve alignment with national and local big data strategies. Key objectives involve creating a six-in-one data resource system focusing on data aggregation, sharing, governance, analysis, visualization, and evaluation.

Necessity and Alignment with Strategies

The project is necessitated by the national big data strategy, which emphasizes data-driven governance and innovation. It responds to local policies such as H市's public data management and integration requirements, breaking information silos in M区. The platform addresses issues like data fragmentation, lack of interoperability, and inefficiencies in cross-departmental collaboration, positioning M区 as a leader in smart city development.

Key Requirements and System Architecture

The project requires comprehensive technical and functional specifications:

• Technical Requirements: Utilizes SOA, JavaB/S, Docker, Kubernetes for scalability; adopts XML and standard APIs for data exchange.
• Functional Requirements: Includes data support, sharing, governance, management, and security sub-platforms; ensures platform flexibility, high availability, and modular design.
• Architecture Framework: Comprises an overall architecture divided into layers (infrastructure, data resource, support, service, and governance) and draws on H市’s unified standards for integration.

Investment, Economic, and Social Benefits

• Economic Benefits: Reduces duplication in data collection and maintenance, lowers IT costs through shared resources, optimizes administrative efficiency, and promotes Business Innovation by leveraging data analytics.
• Social Benefits: Enhances ZF services, improves decision-making, strengthens emergency response, and boosts public satisfaction through data-driven governance. Fulfills the “five centers” vision by integrating technology into urban management.

Risk Management

• Risks Addressed: Covers technical risks (e.g., evolving technologies, standards), security risks (e.g., data leaks, unauthorized access), and project execution risks (e.g., scope changes, delays).
• Control Measures: Includes specific plans for managing risks through standardization, rigorous testing, phased implementation, and adaptability to requirements. Employs measures like regular audits, security enhancements, and change management protocols to minimize potential threats.