Evidence map›Paper›PMID 35616100›Full record

ArticleDatabase : the journal of biological databases and curation2022

A Simple Standard for Sharing Ontological Mappings (SSSOM).

Nicolas Matentzoglu, James P Balhoff, Susan M Bello, Chris Bizon, Matthew Brush, Tiffany J Callahan, Christopher G Chute, William D Duncan, Chris T Evelo, Davera Gabriel and 34 more

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
  2. AI semantics for biomedical data integration.bioRxiv : the preprint server for biology · 2026
    Article
  3. Programmatic access to ICTV virus taxonomy through a public ontology API.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. VO: The Vaccine Ontology.Scientific data · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Mapping of EFO terms from the GWAS catalog data to multiple ontologies at the Rat Genome Database.Database : the journal of biological databases and curation · 2026
    Article
  13. Rosetta Statements: simplifying FAIR knowledge graph construction with a user-centred approach.Database : the journal of biological databases and curation · 2026
    Article
  14. Large Language Models in Bio-Ontology Research: A Review.Bioengineering (Basel, Switzerland) · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. VO: The Vaccine Ontology.bioRxiv : the preprint server for biology · 2025
    Article
  20. 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

44 authors.

Nicolas MatentzogluSemanticly Ltd, London WC2H 9JQ, UK.
James P BalhoffRENCI, University of North Carolina, Chapel Hill, NC 27517, USA.ORCID 0000-0002-8688-6599
Susan M BelloThe Jackson Laboratory, Bar Harbor, ME 04609, USA.ORCID 0000-0003-4606-0597
Chris BizonRENCI, University of North Carolina, Chapel Hill, NC 27517, USA.ORCID 0000-0002-9491-7674
Matthew BrushUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80217, USA.
Tiffany J CallahanUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80217, USA.
Christopher G ChuteJohns Hopkins University, Baltimore, MD 21210, USA.ORCID 0000-0001-5437-2545
William D DuncanLawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.ORCID 0000-0001-9625-1899
Chris T EveloMaastricht University, Maastricht 6211 LK, The Netherlands.ORCID 0000-0002-5301-3142
Davera GabrielJohns Hopkins University, Baltimore, MD 21210, USA.
John GraybealStanford University, Stanford, CA 94305, USA.
Alasdair GrayDepartment of Computer Science, Heriot-Watt University, Edinburgh, Currie EH14 4AS, UK.
Benjamin M GyoriHarvard Medical School, Boston, MA 02115, USA.ORCID 0000-0001-9439-5346
Melissa HaendelUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80217, USA.ORCID 0000-0001-9114-8737
Henriette HarmseEuropean Bioinformatics Institute (EMBL-EBI), Hinxton CB10 1SD, UK.
Nomi L HarrisLawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.ORCID 0000-0001-6315-3707
Ian HarrowPistoia Alliance Inc, USA.
Harshad B HegdeLawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Amelia L HoytBeth Israel Deaconess Medical Center, Boston, MA 02215, USA.ORCID 0000-0003-1307-2508
Charles T HoytHarvard Medical School, Boston, MA 02115, USA.
Dazhi JiaoJohns Hopkins University, Baltimore, MD 21210, USA.
Ernesto Jiménez-RuizCity University of London, London EC1V 0HB, UK.
Simon JuppSciBite Limited, Bio Data Innovation Centre, Wellcome Genome Campus, Hinxton, Saffron Walden CB10 1DR, UK.
Hyeongsik KimRobert Bosch LLC, Sunnyvale, CA 94085, USA.
Sebastian KoehlerAda Health GmbH, Berlin 10178, Germany.
Thomas LienerPistoia Alliance Inc, USA.
Qinqin LongLeiden University Medical Center, Leiden 2333 ZA, The Netherlands.
James MaloneBenchSci, 25 York St Suite 1100, Toronto, ON M5J 2V5, Canada.
James A McLaughlinEuropean Bioinformatics Institute (EMBL-EBI), Hinxton CB10 1SD, UK.
Julie A McMurryUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80217, USA.
Sierra MoxonLawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Monica C Munoz-TorresUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80217, USA.ORCID 0000-0001-8430-6039
David Osumi-SutherlandEuropean Bioinformatics Institute (EMBL-EBI), Hinxton CB10 1SD, UK.
James A OvertonKnocean Inc., Toronto, ON M6P 2T3, Canada.ORCID 0000-0001-5139-5557
Bjoern PetersLa Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
Tim PutmanUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80217, USA.
Núria Queralt-RosinachLeiden University Medical Center, Leiden 2333 ZA, The Netherlands.
Kent ShefchekUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80217, USA.
Harold SolbrigJohns Hopkins University, Baltimore, MD 21210, USA.
Anne ThessenUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80217, USA.ORCID 0000-0002-2908-3327
Tania TudoracheIndependent Scholar.
Nicole VasilevskyUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80217, USA.
Alex H WagnerThe Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH 43205, USA.ORCID 0000-0002-2502-8961
Christopher J MungallLawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.ORCID 0000-0002-6601-2165

Funding

The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
Gene Ontology Consortium and KnowledgebaseU24HG012212 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHRISTOPHER J MUNGALL, PAUL Warren STERNBERG · 2022 to 2026
$11.6M
Improvements to the LinkML framework to support the Phenomics First open science resourceRM1HG010860 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2020 to 2024
$10.3M
NHGRI NIH HHS RM1 HG010860NIH HHS R24 OD011883
6 · The paper itself

Abstract

Despite progress in the development of standards for describing and exchanging scientific information, the lack of easy-to-use standards for mapping between different representations of the same or similar objects in different databases poses a major impediment to data integration and interoperability. Mappings often lack the metadata needed to be correctly interpreted and applied. For example, are two terms equivalent or merely related? Are they narrow or broad matches? Or are they associated in some other way? Such relationships between the mapped terms are often not documented, which leads to incorrect assumptions and makes them hard to use in scenarios that require a high degree of precision (such as diagnostics or risk prediction). Furthermore, the lack of descriptions of how mappings were done makes it hard to combine and reconcile mappings, particularly curated and automated ones. We have developed the Simple Standard for Sharing Ontological Mappings (SSSOM) which addresses these problems by: (i) Introducing a machine-readable and extensible vocabulary to describe metadata that makes imprecision, inaccuracy and incompleteness in mappings explicit. (ii) Defining an easy-to-use simple table-based format that can be integrated into existing data science pipelines without the need to parse or query ontologies, and that integrates seamlessly with Linked Data principles. (iii) Implementing open and community-driven collaborative workflows that are designed to evolve the standard continuously to address changing requirements and mapping practices. (iv) Providing reference tools and software libraries for working with the standard. In this paper, we present the SSSOM standard, describe several use cases in detail and survey some of the existing work on standardizing the exchange of mappings, with the goal of making mappings Findable, Accessible, Interoperable and Reusable (FAIR). The SSSOM specification can be found at http://w3id.org/sssom/spec. Database URL: http://w3id.org/sssom/spec.

Indexed as

MetadataSemantic WebDatabases, FactualData ManagementWorkflow

Identifiers

PMID35616100
PMCPMC9216545

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.