A two-stage registry-anchored approach for precision improvement in organization name recognition from PubMed affiliation strings: a validation study

10.7910/DVN/M5PRZBKang, InmoInmoKang0009-0009-9244-6360Graduate School of Management of Technology, Sogang Univeristy, Seoul, KoreaPark, JoonmoJoonmoPark0009-0007-5917-5701Jeong, HeesooHeesooJeong0009-0005-9592-8788Chung, SeyoungSeyoungChung0009-0006-0037-1065Jeon, ChangminChangminJeon0009-0000-0711-1158Moon, SeongwukSeongwukMoon0000-0003-0375-533XA two-stage registry-anchored approach for precision improvement in organization name recognition from PubMed affiliation strings: a validation studyHarvard Dataverse2026Social SciencesMoon, SeongwukSogang University, Seoul, Korea2026-02-042026-02-05279519041636883010177145280165417144969application/jsontext/comma-separated-valuesapplication/jsonapplication/pdfapplication/pdfapplication/pdf2.0CC0 1.0Dataset 1. The dataset analyzed during the current study.