Data Semantic Standards

Data Semantic Standards are shared rules and agreed-upon meanings that ensure data is interpreted consistently across different systems and organizations. They define how data should be described, categorized, and understood so that information collected by one system can accurately be used or combined with data from another. This helps prevent miscommunication, improves data quality, and enables effective data sharing and integration across diverse platforms and sectors. Essentially, they create a common language for data, ensuring everyone interprets and uses it in the same way.