Evidence map›Paper›PMID 37324543›Full record

ArticleCEUR workshop proceedings2022

A community effort for COVID-19 Ontology Harmonization.

Asiyah Yu Lin, Yuki Yamagata, William D Duncan, Leigh C Carmody, Tatsuya Kushida, Hiroshi Masuya, John Beverley, Biswanath Dutta, Michael DeBellis, Zoë May Pendlington and 2 more

Abstract read
PubMed Full text at PMC
In one paragraph

Article in CEUR workshop proceedings, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Asiyah Yu LinNational Human Genome Research Institute, NIH, Bethesda, MD, USA.ORCID 0000-0003-2620-0345
Yuki YamagataRIKEN, Japan.ORCID 0000-0002-9673-1283
William D DuncanLawrence Berkeley National Laboratory, Berkeley, CA, USA.
Leigh C CarmodyThe Jackson Laboratory, Bar Harbor, ME, USA.
Tatsuya KushidaRIKEN, Japan.
Hiroshi MasuyaRIKEN, Japan.
John BeverleyNorthwest University, Evanston, Il, USA.
Biswanath DuttaIndian Statistical Institute Bangalore Centre, India.
Michael DeBellisIndividual Consultant and Researcher, San Francisco, CA, USA.
Zoë May PendlingtonEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Paola RoncagliaEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Yongqun HeUniversity of Michigan Medical School, Ann Arbor, MI, USA.ORCID 0000-0001-9189-9661

Funding

National Library of Medicine Conference 2022T15LM012495 · NLM · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PETER L. ELKIN · 2017 to 2026
$4.3M
Ontology-supported Integrative Analysis and Visualization of Vaccine-induced Pathways and NetworksUH2AI132931 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HE, YONGQUN, WU, GUANMING · 2019 to 2020
$437k
NIAID NIH HHS UH2 AI132931NLM NIH HHS T15 LM012495
6 · The paper itself

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.

Indexed as

COVID-19harmonizationKnowledge integrationontologySARS-CoV-2

Identifiers

PMID37324543
PMCPMC10262777

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.