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Coordinating virus research: The Virus Infectious Disease Ontology

  • National Center for Ontological Research
  • Air Force Research Laboratory
  • Northwestern University
  • University of Texas Southwestern Medical Center
  • Loyola University Chicago
  • University of Michigan, Ann Arbor
  • SUNY Buffalo
  • J. Craig Venter Institute
  • University of California at San Diego
  • La Jolla Institute for Allergy and Immunology

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2 virus. Rapid, accurate, and consistent interpretation of generated data is thereby of fundamental concern. Ontologies–structured, controlled, vocabularies–are designed to support consistency of interpretation, and thereby to prevent the development of data silos. This paper describes how ontologies are serving this purpose in the COVID-19 research domain, by following principles of the Open Biological and Biomedical Ontology (OBO) Foundry and by reusing existing ontologies such as the Infectious Disease Ontology (IDO) Core, which provides terminological content common to investigations of all infectious diseases. We report here on the development of an IDO extension, the Virus Infectious Disease Ontology (VIDO), a reference ontology covering viral infectious diseases. We motivate term and definition choices, showcase reuse of terms from existing OBO ontologies, illustrate how ontological decisions were motivated by relevant life science research, and connect VIDO to the Coronavirus Infectious Disease Ontology (CIDO). We next use terms from these ontologies to annotate selections from life science research on SARS-CoV-2, highlighting how ontologies employing a common upper-level vocabulary may be seamlessly interwoven. Finally, we outline future work, including bacteria and fungus infectious disease reference ontologies currently under development, then cite uses of VIDO and CIDO in host-pathogen data analytics, electronic health record annotation, and ontology conflict-resolution projects.

Original languageEnglish
Article numbere0285093
JournalPLOS ONE
Volume19
Issue number1 January
DOIs
StatePublished - Jan 2024

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