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OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies
Biological ontologies are used to organize, curate and interpret the vast quantities of data arising from biological experiments. While this works well when using a single ontology, integrating multiple ontologies can be problematic, as they are developed independently, which can lead to incompatibi...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546234/ https://www.ncbi.nlm.nih.gov/pubmed/34697637 http://dx.doi.org/10.1093/database/baab069 |
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author | Jackson, Rebecca Matentzoglu, Nicolas Overton, James A Vita, Randi Balhoff, James P Buttigieg, Pier Luigi Carbon, Seth Courtot, Melanie Diehl, Alexander D Dooley, Damion M Duncan, William D Harris, Nomi L Haendel, Melissa A Lewis, Suzanna E Natale, Darren A Osumi-Sutherland, David Ruttenberg, Alan Schriml, Lynn M Smith, Barry Stoeckert Jr., Christian J Vasilevsky, Nicole A Walls, Ramona L Zheng, Jie Mungall, Christopher J Peters, Bjoern |
author_facet | Jackson, Rebecca Matentzoglu, Nicolas Overton, James A Vita, Randi Balhoff, James P Buttigieg, Pier Luigi Carbon, Seth Courtot, Melanie Diehl, Alexander D Dooley, Damion M Duncan, William D Harris, Nomi L Haendel, Melissa A Lewis, Suzanna E Natale, Darren A Osumi-Sutherland, David Ruttenberg, Alan Schriml, Lynn M Smith, Barry Stoeckert Jr., Christian J Vasilevsky, Nicole A Walls, Ramona L Zheng, Jie Mungall, Christopher J Peters, Bjoern |
author_sort | Jackson, Rebecca |
collection | PubMed |
description | Biological ontologies are used to organize, curate and interpret the vast quantities of data arising from biological experiments. While this works well when using a single ontology, integrating multiple ontologies can be problematic, as they are developed independently, which can lead to incompatibilities. The Open Biological and Biomedical Ontologies (OBO) Foundry was created to address this by facilitating the development, harmonization, application and sharing of ontologies, guided by a set of overarching principles. One challenge in reaching these goals was that the OBO principles were not originally encoded in a precise fashion, and interpretation was subjective. Here, we show how we have addressed this by formally encoding the OBO principles as operational rules and implementing a suite of automated validation checks and a dashboard for objectively evaluating each ontology’s compliance with each principle. This entailed a substantial effort to curate metadata across all ontologies and to coordinate with individual stakeholders. We have applied these checks across the full OBO suite of ontologies, revealing areas where individual ontologies require changes to conform to our principles. Our work demonstrates how a sizable, federated community can be organized and evaluated on objective criteria that help improve overall quality and interoperability, which is vital for the sustenance of the OBO project and towards the overall goals of making data Findable, Accessible, Interoperable, and Reusable (FAIR). Database URL http://obofoundry.org/ |
format | Online Article Text |
id | pubmed-8546234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85462342021-10-26 OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies Jackson, Rebecca Matentzoglu, Nicolas Overton, James A Vita, Randi Balhoff, James P Buttigieg, Pier Luigi Carbon, Seth Courtot, Melanie Diehl, Alexander D Dooley, Damion M Duncan, William D Harris, Nomi L Haendel, Melissa A Lewis, Suzanna E Natale, Darren A Osumi-Sutherland, David Ruttenberg, Alan Schriml, Lynn M Smith, Barry Stoeckert Jr., Christian J Vasilevsky, Nicole A Walls, Ramona L Zheng, Jie Mungall, Christopher J Peters, Bjoern Database (Oxford) Original Article Biological ontologies are used to organize, curate and interpret the vast quantities of data arising from biological experiments. While this works well when using a single ontology, integrating multiple ontologies can be problematic, as they are developed independently, which can lead to incompatibilities. The Open Biological and Biomedical Ontologies (OBO) Foundry was created to address this by facilitating the development, harmonization, application and sharing of ontologies, guided by a set of overarching principles. One challenge in reaching these goals was that the OBO principles were not originally encoded in a precise fashion, and interpretation was subjective. Here, we show how we have addressed this by formally encoding the OBO principles as operational rules and implementing a suite of automated validation checks and a dashboard for objectively evaluating each ontology’s compliance with each principle. This entailed a substantial effort to curate metadata across all ontologies and to coordinate with individual stakeholders. We have applied these checks across the full OBO suite of ontologies, revealing areas where individual ontologies require changes to conform to our principles. Our work demonstrates how a sizable, federated community can be organized and evaluated on objective criteria that help improve overall quality and interoperability, which is vital for the sustenance of the OBO project and towards the overall goals of making data Findable, Accessible, Interoperable, and Reusable (FAIR). Database URL http://obofoundry.org/ Oxford University Press 2021-10-26 /pmc/articles/PMC8546234/ /pubmed/34697637 http://dx.doi.org/10.1093/database/baab069 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Jackson, Rebecca Matentzoglu, Nicolas Overton, James A Vita, Randi Balhoff, James P Buttigieg, Pier Luigi Carbon, Seth Courtot, Melanie Diehl, Alexander D Dooley, Damion M Duncan, William D Harris, Nomi L Haendel, Melissa A Lewis, Suzanna E Natale, Darren A Osumi-Sutherland, David Ruttenberg, Alan Schriml, Lynn M Smith, Barry Stoeckert Jr., Christian J Vasilevsky, Nicole A Walls, Ramona L Zheng, Jie Mungall, Christopher J Peters, Bjoern OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies |
title | OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies |
title_full | OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies |
title_fullStr | OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies |
title_full_unstemmed | OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies |
title_short | OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies |
title_sort | obo foundry in 2021: operationalizing open data principles to evaluate ontologies |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546234/ https://www.ncbi.nlm.nih.gov/pubmed/34697637 http://dx.doi.org/10.1093/database/baab069 |
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