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Ontologies for Infectious and Immune-Mediated Disease Data Science

Guest Edited by:
Asiyah Yu Lin, MD, PhD, Axle Research and Technology, United States of America
Professor Alexander Diehl, PhD, University at Buffalo, United States of America 
Professor John Beverley, PhD, University at Buffalo, United States of America 
Professor Lindsay Cowell, MS, PhD, UT Southwestern Medical Center, United States of America

Submission Status: Open   |   Submission Deadline: 30th September 2024


Journal of Biomedical Semantics is calling for submissions to our Collection on 'Ontologies for Infectious and Immune-Mediated Disease Data Science.' 

Over the last 15 years, the OBO Foundry community has developed multiple immunology and infectious disease ontologies. There is, however, a growing need for better coordination and integration strategies across these and other efforts, as well as improved strategies for identifying gaps in existing domain coverage.

About the collection

Journal of Biomedical Semantics is calling for submissions to our Collection on 'Ontologies for Infectious and Immune-Mediated Disease Data Science.'

Infectious and immune-mediated disease (IID) research covers various disparate areas including autoimmune diseases, human inborn errors in immunity, infectious diseases and host-pathogen interactions, immunological studies, epidemiological studies, surveillance, clinical trials, and reagent and diagnostic method development. Rare immunological diseases, such as severe combined immunological deficiencies, remain a significant concern and focus for research. Ontologies and Knowledge Graphs (KG) serve as an ideal tool for integrating such data to support innovations and decision making. Over the last 15 years, the OBO Foundry community has developed multiple immunology and infectious disease ontologies. There is, however, a growing need for better coordination and integration strategies across these and other efforts, as well as improved strategies for identifying gaps in existing domain coverage.

We welcome the submission of research papers, reviews, perspectives focusing on ontologies, knowledge graphs, and their applications related to the following topics, but not limited to:

      1. Infectious and immune-mediated disease (IID)

      2. Epidemiological surveillance and monitoring

      3. Big data-supported therapeutic discovery for IID

      4. Immunological data, pathways, and mechanisms

      5. Pathogen and host responses

      6. FAIR metadata for IID research

      7. Pandemic preparedness

      8. Strategies or solutions to facilitate ontology reuse, improve IID data integration for AI/ML readiness

 

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of original Research Articles. 

Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Ontologies for Infectious and Immune-Mediated Disease Data Science" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.