Full-Text Data Extraction is a computational process within the broader category of data extraction methods that specifically involves the systematic identification, parsing, and retrieval of structured information from the complete textual content of documents, distinguishing itself by encompassing all sections of a document—including introductions, methods, results, and discussions—rather than relying solely on abstracts or metadata.