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NGBO: Introducing -omics Data into Biobanking Ontology

A biobank contains a collection of biological samples, along with associated medical information of sample donors, for further research use. Given the wealth of information that can be derived from stored information and biological materials, there is a pressing need for structuring biobank data in a manner that allows subsequent computer-based analyses. Currently, the value of biobank data lies in how it can be linked with other molecular and clinical data (“-omics data”), to provide new insights into health and disease. Linking data has thus far, however, proven challenging due to unstructured and incompatible data types. Here, we describe the development of a Next-Generation biobanking ontology (NGBO) that is capable of supporting both Biospecimen processing, management, storage and retrieval infrastructure, and acting as a knowledge hub for an integrated clinical and translational research ecosystem integrating –omics data.