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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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/
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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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