Improving Biomedical Knowledge Graph Quality: A Community Approach.

ABSTRACT: Biomedical knowledge graphs (KGs) are widely used across research and translational settings, yet their design decisions and implementation are often opaque. Unlike ontologies that more frequently adhere to established creation principles, biomedical KGs lack consistent practices for construction, documentation, and dissemination. To address this gap, we introduce a set of evaluation criteria grounded in widely accepted data standards and principles from related fields. We apply these criteria to 16 biomedical KGs, revealing that even those that appear to align with best practices often obscure essential information required for external reuse. Moreover, biomedical KGs, despite pursuing similar goals and ingesting the same sources in some cases, display substantial variation in models, sou

SUBMITTER: Cortes KG 

PROVIDER: S-EPMC12407614 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature