ETD Data Enhancement

We developed MetaEnhance, an AI-based framework for automatically detecting, correcting, and standardizing metadata errors in Electronic Theses and Dissertations (ETDs). Using a benchmark of 500 ETDs, MetaEnhance achieved near-perfect F1-scores for error detection and correctness F1-scores ranging from 0.85 to 1.00 for five of seven fields.