What is detailed in a data dictionary?

A data dictionary serves as an essential resource in data management by providing comprehensive descriptions of various data elements within a system. This includes not just the name of each data element, but also its definitions, data types, formats, and allowed values. By standardizing information about the data, the data dictionary ensures clarity and consistency in how data is used and interpreted across the organization.

This is particularly important for developers, analysts, and other stakeholders who need to understand the meaning and context of data items in databases or data models. Clear definitions and details facilitate effective communication among teams and contribute to effective data governance.

In contrast, the other options address different aspects of data management. The procedures for data encryption pertain to security protocols rather than definitions of data elements, while the benefits of data storage discuss advantages rather than providing specific details about data. Lastly, the history of data usage is a retrospective examination of how data has been utilized over time, rather than a formal definition of current data elements. Thus, the most appropriate choice that aligns with the purpose of a data dictionary is the content and definitions of data elements.