Which discovery method focuses on collecting all matching data elements for a specified purpose?

Metadata-based Discovery is centered on collecting and analyzing metadata to identify and categorize data elements that match specific criteria tied to a defined purpose. This approach utilizes the descriptive information about the data, such as its origin, structure, and relationships, allowing for efficient searching and identification of relevant data sets. By focusing on the metadata, organizations can streamline the discovery process, ensuring that they gather the precise data necessary for compliance, analytics, or reporting without sifting through vast amounts of data.

This method is particularly effective in cloud environments where data can be distributed across various platforms and services. It enables organizations to quickly derive insights regarding what data exists and how it can be leveraged or protected according to data governance policies. The use of metadata facilitates better data management practices, ensuring compliance with regulations and enhancing security by controlling access to sensitive information based on its classification and purpose.

Other methods, while valuable in their own contexts, may not focus specifically on matching data elements to a stated purpose as effectively as metadata-based discovery does.