What are structured data types?
Structured data types can mean two related things. In databases and programming, types describe values such as text, integer, decimal, boolean, date, timestamp, array, or object. In web structured data, Schema.org types describe entities such as Organization, Person, Article, Product, Event, and Review.
Both uses constrain meaning. A field typed as a date should hold a valid date, and an Event entity should use properties appropriate to an event. Choosing a type lets systems validate values and understand which operations or relationships make sense.
Why structured data types matter
Loose typing creates quiet errors. A campaign budget stored as formatted text cannot be summed reliably. A product price stored without currency is ambiguous. A page labeled as several unrelated Schema.org types may validate in pieces while failing to communicate a clear primary entity.
Choose the narrowest type that reflects the real value or entity, document null behavior and units, and validate at entry. For web markup, start with the page's main subject and include only visible, maintained properties. For operational data, keep raw values when normalization or conversion changes them.
How to use structured data types in practice
A practical review of structured data types should start with meaning before syntax. Identify what the item represents, which visible or operational facts define it, and which system can keep those facts current. Set an explicit review trigger rather than relying on memory. A product launch, schema change, prompt revision, new data source, campaign shift, or sales objection may justify a fresh check. The practical test for structured data types is whether it improves a real decision without creating hidden definitions, unsupported confidence, or an unowned handoff to another team.
Example
A campaign record stores startDate and endDate as dates, budget as a decimal with a separate currency code, isActive as a boolean, and channel as a controlled category. A campaign article on the website remains an Article entity rather than being mislabeled as the campaign record itself.
Types make data safer to use because they limit interpretation. The team still has to define the business meaning, source, and relationship behind each typed value.