What does the term "metadata" refer to in data management?

The term "metadata" refers specifically to data that describes other data. This includes information that provides context and understanding about the primary data, such as its source, structure, format, and relevance. For instance, in the context of a dataset, metadata would detail who created the data, when it was created, the data's format (like CSV or JSON), and any relevant attributes or characteristics of the data set. Essentially, metadata acts as a guide, helping users to interpret and utilize the primary data effectively.

In contrast, raw data collected from sources is information that has not yet been processed or analyzed, meaning it lacks the context provided by metadata. Encrypted data for security pertains to data that has been transformed to prevent unauthorized access but does not convey any information about the data itself. Processed data for analysis has undergone manipulation or transformation to extract insights but similarly lacks the descriptive context that metadata provides. Therefore, the concept of metadata is foundational in data management as it enhances the usability and quality of the primary data.