What characterizes structured data?

Structured data is characterized by being organized into a defined format, which often includes the use of fixed fields within a record. This format allows for easy identification of data types such as integers, dates, and strings since the data adheres to a strict schema or model. Common examples of structured data include relational databases, spreadsheets, and data tables where each piece of information is categorized and can be easily searched, queried, and analyzed due to its predictable format.

In contrast, the other options describe characteristics that do not align with the definition of structured data. For instance, data lacking an integrated schema refers more to unstructured data, which does not have a predefined format. Data that is only suitable for archiving suggests a lack of accessibility or organization, while data that is described as unedited and raw is typically associated with unstructured or semi-structured data, which does not have the same level of organization as structured data.