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Data that have not been organized into a specialized repository, such as a database, but that nevertheless have associated information, such as metadata, that makes them more amenable to processing than raw data. Semi-structured data lie somewhere between structured and unstructured data. They are not organized in a complex manner that makes sophisticated access and analysis possible. However, they may have information associated with them, such as metadata tagging that allows elements contained to be addressed. Example: A Word document is generally considered to be unstructured data. However, metadata tags could be added in the form of keywords and other metadata that represent the document content and make it easier for that document to be found when people search for those terms — the data are now semi-structured. Nevertheless, the document still lacks the complex organization of a database, so falls short of being fully structured data