Classification by Compilation refers to which classification scenario?

Classification by Compilation is a scenario that arises when unclassified information is aggregated or compiled, such that the resulting compilation itself reveals sensitive information and warrants classification. This can happen when seemingly innocuous pieces of data, when brought together, can lead to the emergence of a classified nature due to the insight or context they provide.

For example, if individual pieces of data about different elements are not classified when viewed in isolation, but when combined, they disclose a significant amount of sensitive or classified context, that new compilation must then be considered classified. Thus, the act of bringing together these unclassified elements can elevate the overall classification status of the new document.

In contrast, other scenarios such as solely creating a document with all classified information, using classified sources without modification, or summarizing existing classified documents do not necessarily involve the transformation of unclassified to classified status through compilation. Therefore, these options do not effectively describe the specific criteria defined for Classification by Compilation.