GlossaryEN1 min readUpdated: Jun 18, 2026

Data Reuse

Data reuse enables information generated during logistics and customs processes to serve multiple purposes and actors without new data collection.

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Last updated: 18 June 2026Published: 27 January 2026

Source: https://en.wikipedia.org/wiki/Data_reuse

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Passar Hub: Everything on the new Swiss customs system

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Definition & Explanation

Data reuse enables information generated during logistics and customs processes to serve multiple purposes and actors without new data collection. Master data captured in an initial customs declaration – company identifiers, addresses, commodity descriptions – becomes available for subsequent filings, risk profiling, and statistical reporting. Sailing schedules and container tracking data gathered by the carrier are simultaneously accessible to the forwarder, consignee, and customs authority. This reduces data-entry workload, limits transcription errors by drawing on authoritative sources, and builds a consistent foundation for supply chain analytics and compliance monitoring. Data reuse is a core component of the Once-Only Principle in the regulatory sphere and of modern logistics platforms that standardise data exchange through API integrations.

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⚡ Current 2026

Passar Hub: Everything on the new Swiss customs system

Passar replaces E-dec and NCTS. Passar 1.0 (export) is live, Passar 2.0 (import) starts from Q2 2026. Roadmap, ePortal registration, deadlines and FAQ — all on one page.

Passar 1.0Passar 2.0 → Q2 2026Passar 3.0 → Q2 2027

Passar Hub →Declar Info

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Data Reuse

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Related Terms

WCO Data Model Component

Data Quality

Transit Data Lake

Terminal Data Lake

Trustworthy Data Pipelines

Unnormalized Data Lakes

Passar Hub: Everything on the new Swiss customs system

Incoterms 2020 Simulator: Who bears costs & risk?

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