How Researchers Claim Novelty in Biomedical Science: A Taxonomy for Understanding Innovation

Submitted to Science Advances, 2025

Scientific novelty is essential for progress, yet it is often hard to define and measure. In this study, we create NOBL(NOvelty taxonomy for Biomedical Literature), a hierarchical taxonomy for classifying different types of noveltyclaims in biomedical research papers. Developed through an iterative, data-driven, expert-guided, and AI-assistedframework using a domain-stratified corpus of 12,701 PubMed articles, NOBL offers a fine-grained, interpretable schema of innovation types, validated for clarity, consistency, and coverage. We find that 6.47% of articles include at least one explicit novelty claim, with new findings being the most common type. We also identify three distinct innovation patterns across 130 biomedical fields. NOBL provides a systematic approach for researchers, reviewers, and funders to understand the innovation landscape of biomedical research and offers a new way to make scientific novelty more visible, measurable, and useful.