Integration of Biobanking Architecture with Genomics Data: Genomics Integrated Biobanking Ontology (GIBO)

Nitya Singh; Naomi Braun; William Hogan; Mathias Brochhausen

doi:10.3233/SHTI220722

Integration of Biobanking Architecture with Genomics Data: Genomics Integrated Biobanking Ontology (GIBO)

Stud Health Technol Inform. 2022 Jun 29:295:302-303. doi: 10.3233/SHTI220722.

Authors

Nitya Singh¹, Naomi Braun², William Hogan², Mathias Brochhausen³

Affiliations

¹ Emerging Pathogens Institute, Food Systems Institute, Animal Sciences Department, University of Florida, Gainesville, Florida, USA.
² Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, Florida, USA.
³ Dept. of Biomedical Informatics, University of Arkansas for Medical Sciences, USA.

PMID: 35773868
DOI: 10.3233/SHTI220722

Abstract

Integration of clinical-pathological information of Biobanks with genomics-epidemiological data/inferences in a structured and consistent manner, mitigating inherent heterogeneities of sites/sources of data/sample collection, processing, and information storage hurdles, is primary to achieving an automated surveillance system. Genomics Integrated Biobanking Ontology (GIBO) presents a solution for preserving the contextual meaning of heterogeneous data, while interlinking different genomics and epidemiological concepts in machine comprehensible format with the biobank framework. GIBO an OWL ontology introduces 84 new classes to integrate genomics data relevant to public health.

Keywords: Genomic epidemiology; biobanks; ontological integration.

MeSH terms

Biological Specimen Banks*
Genomics*
Information Storage and Retrieval
Public Health
Specimen Handling