Work

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

Year: 2025

Type: article

Abstract: This document provides a practical instruction 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 declarations using the GAIDeT Declaration Generator; how editors and depositors can embed these declarations into Crossref metadata, either through XML or the Crossref Web Deposit Form; examples of XML snippets and Web Deposit Form entries; 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17101227

Authors: Nazarovets, Serhii, Suchikova, Yana

Institutions: Borys Grinchenko Kyiv Metropolitan University, Berdyansk State Pedagogical University

Language: English

Topic: Publishing and Scholarly Communication

Subfield: History and Philosophy of Science

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7081181931

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