Standardized Data Ontology

In logistics, data standardization is the process of converting data from diverse sources into a common, consistent format and structure to enable acc...

Risk data in logistics or supply chain context are data used to identify, assess, and monitor risks in supply chains and transportation processes (e.g...

Trade Data Standardization is the process of defining, harmonizing, and implementing uniform formats, data elements, codes, and business rules for dat...

Data that establish the origin of goods, such as the country of origin, producer, or place of manufacture, used for customs and trade purposes.

UDS (Unified Data Standards) refers to an industry-wide framework for harmonizing data formats and protocols in logistics and supply chain management....

Unifying Data Ontologies refers to the process of harmonizing and consolidating diverse semantic data structures and vocabularies across logistics, su...