<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>A two-stage registry-anchored approach for precision improvement in organization name recognition from PubMed affiliation strings: a validation study</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/M5PRZB</dcterms:identifier><dcterms:creator>Kang, Inmo</dcterms:creator><dcterms:creator>Park, Joonmo</dcterms:creator><dcterms:creator>Jeong, Heesoo</dcterms:creator><dcterms:creator>Chung, Seyoung</dcterms:creator><dcterms:creator>Jeon, Changmin</dcterms:creator><dcterms:creator>Moon, Seongwuk</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2026-02-04</dcterms:issued><dcterms:modified>2026-02-05T03:58:01Z</dcterms:modified><dcterms:description>Dataset 1. The dataset analyzed during the current study.</dcterms:description><dcterms:subject>Social Sciences</dcterms:subject><dcterms:date>2026-02-04</dcterms:date><dcterms:contributor>(KCSE), Korean Councils of Science Editors</dcterms:contributor><dcterms:dateSubmitted>2026-02-04</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>