Notes on the data quality of bibliographic records from the MEDLINE database

Abstract

The US National Library of Medicine has created and maintains the PubMed(R)database, a collection of over 33.8 million records that contain citations and abstracts from the biomedical and life sciences literature. That database is an important resource for researchers and information service providers alike. As part of our work related to the creation of an author graph for coronaviruses, we encountered several data quality issues with records from a curated subset of the PubMed database called MEDLINE. We provide a data quality assessment for records selected from the MEDLINE database and report on several issues ranging from parsing issues (e.g., character encodings and schema definition weaknesses) to low scores against several data quality metrics (e.g., identifier completeness, validity, and uniqueness).