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OMEX metadata specification (version 1.2)
A standardized approach to annotating computational biomedical models and their associated files can facilitate model reuse and reproducibility among research groups, enhance search and retrieval of models and data, and enable semantic comparisons between models. Motivated by these potential benefit...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560343/ https://www.ncbi.nlm.nih.gov/pubmed/34668356 http://dx.doi.org/10.1515/jib-2021-0020 |
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author | Gennari, John H. König, Matthias Misirli, Goksel Neal, Maxwell L. Nickerson, David P. Waltemath, Dagmar |
author_facet | Gennari, John H. König, Matthias Misirli, Goksel Neal, Maxwell L. Nickerson, David P. Waltemath, Dagmar |
author_sort | Gennari, John H. |
collection | PubMed |
description | A standardized approach to annotating computational biomedical models and their associated files can facilitate model reuse and reproducibility among research groups, enhance search and retrieval of models and data, and enable semantic comparisons between models. Motivated by these potential benefits and guided by consensus across the COmputational Modeling in BIology NEtwork (COMBINE) community, we have developed a specification for encoding annotations in Open Modeling and EXchange (OMEX)-formatted archives. This document details version 1.2 of the specification, which builds on version 1.0 published last year in this journal. In particular, this version includes a set of initial model-level annotations (whereas v 1.0 described exclusively annotations at a smaller scale). Additionally, this version uses best practices for namespaces, and introduces omex-library.org as a common root for all annotations. Distributing modeling projects within an OMEX archive is a best practice established by COMBINE, and the OMEX metadata specification presented here provides a harmonized, community-driven approach for annotating a variety of standardized model representations. This specification acts as a technical guideline for developing software tools that can support this standard, and thereby encourages broad advances in model reuse, discovery, and semantic analyses. |
format | Online Article Text |
id | pubmed-8560343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-85603432021-11-09 OMEX metadata specification (version 1.2) Gennari, John H. König, Matthias Misirli, Goksel Neal, Maxwell L. Nickerson, David P. Waltemath, Dagmar J Integr Bioinform Article A standardized approach to annotating computational biomedical models and their associated files can facilitate model reuse and reproducibility among research groups, enhance search and retrieval of models and data, and enable semantic comparisons between models. Motivated by these potential benefits and guided by consensus across the COmputational Modeling in BIology NEtwork (COMBINE) community, we have developed a specification for encoding annotations in Open Modeling and EXchange (OMEX)-formatted archives. This document details version 1.2 of the specification, which builds on version 1.0 published last year in this journal. In particular, this version includes a set of initial model-level annotations (whereas v 1.0 described exclusively annotations at a smaller scale). Additionally, this version uses best practices for namespaces, and introduces omex-library.org as a common root for all annotations. Distributing modeling projects within an OMEX archive is a best practice established by COMBINE, and the OMEX metadata specification presented here provides a harmonized, community-driven approach for annotating a variety of standardized model representations. This specification acts as a technical guideline for developing software tools that can support this standard, and thereby encourages broad advances in model reuse, discovery, and semantic analyses. De Gruyter 2021-10-20 /pmc/articles/PMC8560343/ /pubmed/34668356 http://dx.doi.org/10.1515/jib-2021-0020 Text en © 2021 John H. Gennari et al., published by De Gruyter, Berlin/Boston https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Article Gennari, John H. König, Matthias Misirli, Goksel Neal, Maxwell L. Nickerson, David P. Waltemath, Dagmar OMEX metadata specification (version 1.2) |
title | OMEX metadata specification (version 1.2) |
title_full | OMEX metadata specification (version 1.2) |
title_fullStr | OMEX metadata specification (version 1.2) |
title_full_unstemmed | OMEX metadata specification (version 1.2) |
title_short | OMEX metadata specification (version 1.2) |
title_sort | omex metadata specification (version 1.2) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560343/ https://www.ncbi.nlm.nih.gov/pubmed/34668356 http://dx.doi.org/10.1515/jib-2021-0020 |
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