A community effort for COVID-19 Ontology Harmonization

Authors

Asiyah Yu Lin
Yuki Yamagata
William D. Duncan
Leigh Carmody, The Jackson LaboratoryFollow
Tatsuya Kushida
Hiroshi Masuya
John Beverley
Biswanath Dutta
Michael DeBellis
Zoë May Pendlington
Paola Roncaglia
Yongqun He

Document Type

Article

Publication Date

1-1-2022

Publication Title

CEUR workshop proceedings

Keywords

JMG, COVID-19, Knowledge integration, SARS-CoV-2, harmonization, ontology

JAX Source

CEUR Workshop Proc . 2022:3073:122-127.

Volume

3073

First Page

122

Last Page

127

ISSN

1613-0073

PMID

37324543

Grant

We acknowledge the organizers and attendees of the 2020 Workshop on COVID-19 Ontologies (WCO-2020), which initiated our get-together and collaboration on the ontology harmonization effort. The Office of Data Science Strategy, NIH, provided funding for AYL as a Data and Technology Advancement (DATA) National Service Scholar. JB was supported by NIH / NLM T5 Biomedical Informatics and Data Science Research Training Programs (5T15LM012495–03) during development of VIDO and IDO-COVID-19. CODO work has been supported by Indian Statistical Institute through internal project grant. PR’s work of COVoc has been made possible in part by a grant from Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation. YY was supported by the RIKEN Open Life Science Platform Project during knowledge systematization of COVID-19 infectious processes and development of HoIP ontology.

Abstract

Ontologies have emerged to become critical to support data and knowledge representation, standardization, integration, and analysis. The SARS-CoV-2 pandemic led to the rapid proliferation of COVID-19 data, as well as the development of many COVID-19 ontologies. In the interest of supporting data interoperability, we initiated a community-based effort to harmonize COVID-19 ontologies. Our effort involves the collaborative discussion among developers of seven COVID-19 related ontologies, and the merging of four ontologies. This effort demonstrates the feasibility of harmonizing these ontologies in an interoperable framework to support integrative representation and analysis of COVID-19 related data and knowledge.

Comments

Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)

Recommended Citation

Lin AY, Yamagata Y, Duncan WD, Carmody L, Kushida T, Masuya H, Beverley J, Dutta B, DeBellis M, Pendlington ZM, Roncaglia P, He Y. A community effort for COVID-19 Ontology Harmonization CEUR Workshop Proc . 2022:3073:122-127.