MATS — Modular Authorship Tagging System
Abstract
MATS (Modular Authorship Tagging System) is a practical framework for authorship transparency in the era of digital collaboration and AI. It functions as a micro-language for contribution attribution—functional rather than hierarchical—making real contributions visible and readable by both humans and systems.
Fields of Study & Subjects
Authorship Attribution and Profiling
Biomedical Text Mining and Ontologies
Library Science and Information Systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 January 2026
- Document type
- Preprint