A Simple Standard for Sharing Ontological Mappings (SSSOM)
Nicolas Matentzoglu, James P. Balhoff, Susan M. Bello, Chris Bizon,, Matthew Brush, Tiffany J. Callahan, Christopher G Chute, William D. Duncan,, Chris T. Evelo, Davera Gabriel, John Graybeal, Alasdair Gray, Benjamin M., Gyori, Melissa Haendel, Henriette Harmse, Nomi L. Harris

TL;DR
SSSOM is a new, easy-to-use standard that improves the sharing and interpretation of ontological mappings, enhancing data integration and interoperability in scientific research.
Contribution
The paper introduces SSSOM, a machine-readable, extensible standard for sharing ontological mappings with metadata, along with tools and workflows for community adoption.
Findings
Standardized metadata improves mapping accuracy
Table-based format integrates with existing pipelines
Community-driven development ensures adaptability
Abstract
Despite progress in the development of standards for describing and exchanging scientific information, the lack of easy-to-use standards for mapping between different representations of the same or similar objects in different databases poses a major impediment to data integration and interoperability. Mappings often lack the metadata needed to be correctly interpreted and applied. For example, are two terms equivalent or merely related? Are they narrow or broad matches? Are they associated in some other way? Such relationships between the mapped terms are often not documented, leading to incorrect assumptions and making them hard to use in scenarios that require a high degree of precision (such as diagnostics or risk prediction). Also, the lack of descriptions of how mappings were done makes it hard to combine and reconcile mappings, particularly curated and automated ones. The…
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