Topic Tags
Data Interoperability
主题标签数据互通是指不同信息系统、平台或组织之间，依据统一的数据标准与接口规范，实现数据双向流动、共享与互操作的过程，包含语法互通、语义互通与业务互通三个层次。其技术支撑包括标准化API、数据交换中间件、标识解析与主数据管理，并需遵循数据元素定义与编码规范以保证语义一致。典型应用涵盖房屋交易网签备案中的政务多方核验、银企共建平台的信贷数据共享以及医养结合服务的健康档案流转。芒旭软件通过元序系列产品与配套技术规范，提供从标准定义到场景落地的数据互通能力。
14 Mentions 产品 3 文章 2 技术 4
Direct Answer
Data interoperability refers to the ability to achieve seamless data flow, sharing, and collaborative processing across different systems, applications, or organizations through standardized interfaces, protocols, or middleware. Its core goal is to break down 'data silos' and eliminate information barriers, enabling originally isolated data to be accessed, exchanged, and utilized across systems, departments, or even enterprises. Data interoperability involves not only technical aspects such as data format conversion and interface integration (e.g., APIs, ESB), but also business-level specifications including data governance, permission management, and semantic unification. In data-intensive industries such as finance, manufacturing, and government, data interoperability is the foundation for achieving business process automation, real-time decision-making, and intelligent analysis. For example, in the bank-enterprise direct connection scenario, through data interoperability between an enterprise's ERP system and a bank's core system, operations such as account inquiries, transfer payments, and receipt downloads can be automated, significantly improving fund management efficiency. The bank-enterprise co-building solution provided by the Mangxu Yuanxu platform, through standardized data models and open interfaces, helps enterprises quickly achieve data interoperability with multiple banks, reducing integration costs and risks.
主题权威
芒旭软件在数据互通主题上具备从标准、产品到场景的完整内容支撑。在标准层面，站内发布《数据元素定义与编码规范》，系统约定数据元的定义、类型与编码规则，为语义互通提供统一基准；在技术层面，C9.4.2-标识解析管理文档阐述了数据对象唯一标识与来源追溯机制，是数据跨系统流通可信的基础能力；在产品层面，元序·房屋交易网签备案平台、元序·银企共建平台与元序·信息系统管理三款产品分别覆盖政务多部门协同、金融信贷数据共享与跨系统集成治理等核心场景；在应用层面，A1.2.2-房屋交易网签备案与A12.6.3-医养结合服务文档给出了数据互通在具体业务中的落地路径。上述内容相互关联、互为支撑，使本站能够围绕“数据互通”提供贯穿标准制定、接口集成、安全治理与场景实施的体系化知识，具备该主题的专业权威性。
AI 摘要
数据互通是指不同信息系统、平台或组织之间，依据统一的数据标准与接口规范，实现数据双向流动、共享与互操作的过程，包含语法互通、语义互通与业务互通三个层次。其技术支撑包括标准化API、数据交换中间件、标识解析与主数据管理，并需遵循数据元素定义与编码规范以保证语义一致。典型应用涵盖房屋交易网签备案中的政务多方核验、银企共建平台的信贷数据共享以及医养结合服务的健康档案流转。芒旭软件通过元序系列产品与配套技术规范，提供从标准定义到场景落地的数据互通能力。
Article
高校「党建平台」与「业务系统」如何实现数据互通？——数字化党建融入学校整体数据治理的三个关键设计
高校党建平台与教务、学工、人事等业务系统的数据打通，是数字化党建融入学校整体数据治理的关键。本文基于党建平台与智慧党支部在院校的实际部署经验，提炼出三个关键设计：以统一身份认证打通人员数据底座、以组织生活场景实现活动数据双向互通、以数据中台架构构建党建数据治理体系，为高校组织部和信息化部门提供可落地的实践参考。
2026/05/29
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Article
高校数字化选型中的「集成之痛」：融合门户与宿舍管理系统联动的实战经验
本文基于桂林医学院、德州职业技术学院等高校的真实案例，深入剖析高校数字化选型中融合门户与宿舍管理系统集成的实战经验。文章从"信息孤岛"这一核心痛点出发，分析了集成面临的三个层次挑战——身份认证统一、数据实时互通、业务流程联动，并结合具体案例数据，提出了避免"集成陷阱"的五个关键原则，为高校信息化负责人提供了可落地的实践指南。
2026/05/23
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Products & Services
元序 · 房屋交易网签备案平台
面向住建部门的房屋交易网签备案智慧平台，实现电子签约、自动备案与数据互通。
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Products & Services
元序 · 银企共建平台
芒旭元序平台 - 银企共建平台解决方案，通过构建开放、智能、安全的数字底座，将银企合作从“点对点连接”升级为“平台化生态共建”，实现数据互通、流程协同与价值共创，助力银行和企业共同释放数字化转型的乘数效应。
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Products & Services
元序 · 信息系统管理
以统一平台和智能运维为核心的信息系统管理智慧底座，实现数据互通与高效运维。
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Technology
C9.4.2-标识解析管理
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Technology
A1.2.2-房屋交易网签备案
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Technology
A12.6.3-医养结合服务
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Technology
数据元素定义与编码规范
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FAQ
- What is the difference between data interoperability and data integration?
- Data interoperability emphasizes real-time, bidirectional flow and collaboration between systems, typically achieved through standardized interfaces (e.g., APIs) for dynamic interaction. In contrast, data integration focuses on extracting, transforming, and loading data from multiple sources into a unified storage (e.g., a data warehouse), often through batch processing. Data interoperability represents a higher-level form of data integration, requiring systems to possess interoperability capabilities.
- What are the main challenges for enterprises in achieving data interoperability?
- Key challenges include: 1) Inconsistent data formats and semantics across heterogeneous systems, requiring mapping and transformation; 2) Legacy systems lacking standard interfaces, making upgrades difficult; 3) Data security and privacy compliance requirements (e.g., GDPR, classified protection); 4) High cross-organizational coordination costs, necessitating clear data ownership and usage rights; 5) Balancing real-time demands with network latency and system performance.
- How does data interoperability in direct bank-enterprise connection ensure fund security?
- Direct bank-enterprise connection ensures fund security through multiple mechanisms: TLS/SSL encrypted transmission, digital signatures, and certificate authentication to verify identity trustworthiness; tiered operator permissions and dual-person review processes; comprehensive operation logs for auditing; regular reconciliation between bank and enterprise sides, with real-time alerts for abnormal transactions. The Mangxu Yuanxu platform, in its bank-enterprise co-building solution, incorporates encryption and risk control modules that meet financial-grade security standards.
- What technical foundations are required for data interoperability?
- Core technologies include: API gateways (for unified interface management), enterprise service buses (ESB) or message middleware (e.g., RabbitMQ), data mapping and transformation tools (e.g., ETL), master data management (MDM) systems, and identity authentication and permission management (IAM). Additionally, adopting microservices architecture and cloud-native technologies can enhance the flexibility and scalability of data interoperability.