dataudvekslingssystemer

Dataudveksling, eller data exchange, refers to the processes by which data is moved, shared, or synchronized between organizations, systems, or individuals to enable interoperability, coordination, or analytics. It encompasses both machine-to-machine transfers and human-driven exchanges, and can involve structured and unstructured data.

Common methods include electronic data interchange (EDI), API-based integrations, batch file transfers (FTP/SFTP), and real-time data streams. Formats include XML, JSON, CSV, and domain-specific standards such as HL7 in healthcare or FIX in finance.

Architectures include point-to-point connections, hub-and-spoke integration, and centralized data exchange platforms or data marketplaces. Data exchange often relies on middleware, API gateways, and event-driven architectures. Privacy and security are central, with encryption, access controls, audit logs, and compliance with laws like GDPR and HIPAA.

Applications include cross-organizational supply chain data, healthcare records, financial settlement data, government statistics, and research collaborations. Benefits include operational efficiency, better decision making, and faster service delivery; challenges include interoperability, semantic alignment, data quality, governance, and data sovereignty.

History and trends: data exchange began with EDI and batch transfers in manufacturing and logistics, and has evolved toward web-based APIs and cloud-native platforms. Ongoing trends include standardized data models, semantic interoperability, machine-readable consent, and trusted data exchange ecosystems.