Presentation Details
| Hub4Smell: Unifying Fragmented Olfactory Data to Unlock Clinical and Research Insights Ryann Kolb1, R.J.Kedziora2, Patricia L.Schnarre3, Pamela H.Dalton1, Danielle R.Reed1, Valentina Parma1, 4. 1Monell Chemical Senses Center, Philadelphia, PA, USA.2Estenda Solutions Inc, Wayne, PA, USA.3Ahersla Health, Long Beach, NJ, USA.4Department of Otorhinolaryngology – Head and Neck Surgery, University of Pennsylvania, Philadelphia, PA, USA |
Abstract
Background: Olfactory research remains fragmented across disparate sources with little standardization, hindering data aggregation and limiting the translation of olfactory dysfunction findings into clinical applications and innovations. Hub4Smell digital platform (with free and paid services) is an innovation that unifies fragmented olfactory research data into a standardized, FAIR-compliant resource. It consolidates historical datasets, incorporates prospective data, and systematically discovers and curates publicly available olfactory datasets. Methods: We searched available repositories (e.g. PubMed, Zenodo, Figshare, GitHub, OSF) using 25+ domain-specific terms with filters to exclude irrelevant datasets (e.g. non-human, in vitro). To date, we identified 71 datasets evaluated for participant demographics, test type, licensing (e.g., CC BY 4.0, open access, restricted, proprietary), and data quality. Results: Across 71 publicly accessible olfactory datasets evaluated to date, we identified smell test data for 1.5M+ participants, 80+ countries. Notably, 80% of these datasets are licensed for commercial use. Hub4Smell’s data curation enables harmonization across heterogeneous databases, allowing a proprietary AI-driven conversational analytics module to run queries across aggregated data, facilitating comparative analyses that were previously invisible within isolated silos. Conclusion: By discovering, standardizing, and integrating existing and prospective olfactory datasets following FAIR principles, Hub4Smell platform transforms fragmented human smell test data into a scalable, accessible resource enabling population-level olfactory phenotyping across geographies and times. This positions olfactory assessment as a standardized biomarker for precision medicine and population health surveillance.
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