Instruction for Editors and Depositors: How to Integrate GAIDeT into Crossref Metadata via Crossmark

This document provides practical guidance for journal editors, repository managers, and metadata depositors on how to integrate the GAIDeT (Generative AI Delegation Taxonomy) into Crossref metadata via Crossmark assertions. The guide explains: why transparency in the use of generative AI in research and publishing is essential; what GAIDeT is and how it supports structured, human-responsible AI disclosures; how authors can generate standardized declarations using the GAIDeT Declaration Generator; how editors and depositors can embed these declarations into Crossref metadata through the <custom_metadata> element in XML (Web Deposit Form does not support this functionality); examples of valid XML snippets for Crossmark assertions; the importance of Crossmark participation (assertions will not display unless the publisher/prefix is enrolled in the Crossmark program); benefits for authors, editors, and the global metadata ecosystem; recommendations for adopting GAIDeT in editorial policies and repository workflows. The instruction aims to make AI-use disclosures both human-readable and machine-actionable, contributing to Open Science and FAIR principles.