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The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation

MOTIVATION: Biomedical ontologists to date have concentrated on ontological descriptions of biomedical entities such as gene products and their attributes, phenotypes and so on. Recently, effort has diversified to descriptions of the laboratory investigations by which these entities were produced. H...

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Autores principales: Malone, James, Brown, Andy, Lister, Allyson L, Ison, Jon, Hull, Duncan, Parkinson, Helen, Stevens, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4098953/
https://www.ncbi.nlm.nih.gov/pubmed/25068035
http://dx.doi.org/10.1186/2041-1480-5-25
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author Malone, James
Brown, Andy
Lister, Allyson L
Ison, Jon
Hull, Duncan
Parkinson, Helen
Stevens, Robert
author_facet Malone, James
Brown, Andy
Lister, Allyson L
Ison, Jon
Hull, Duncan
Parkinson, Helen
Stevens, Robert
author_sort Malone, James
collection PubMed
description MOTIVATION: Biomedical ontologists to date have concentrated on ontological descriptions of biomedical entities such as gene products and their attributes, phenotypes and so on. Recently, effort has diversified to descriptions of the laboratory investigations by which these entities were produced. However, much biological insight is gained from the analysis of the data produced from these investigations, and there is a lack of adequate descriptions of the wide range of software that are central to bioinformatics. We need to describe how data are analyzed for discovery, audit trails, provenance and reproducibility. RESULTS: The Software Ontology (SWO) is a description of software used to store, manage and analyze data. Input to the SWO has come from beyond the life sciences, but its main focus is the life sciences. We used agile techniques to gather input for the SWO and keep engagement with our users. The result is an ontology that meets the needs of a broad range of users by describing software, its information processing tasks, data inputs and outputs, data formats versions and so on. Recently, the SWO has incorporated EDAM, a vocabulary for describing data and related concepts in bioinformatics. The SWO is currently being used to describe software used in multiple biomedical applications. CONCLUSION: The SWO is another element of the biomedical ontology landscape that is necessary for the description of biomedical entities and how they were discovered. An ontology of software used to analyze data produced by investigations in the life sciences can be made in such a way that it covers the important features requested and prioritized by its users. The SWO thus fits into the landscape of biomedical ontologies and is produced using techniques designed to keep it in line with user’s needs. AVAILABILITY: The Software Ontology is available under an Apache 2.0 license at http://theswo.sourceforge.net/; the Software Ontology blog can be read at http://softwareontology.wordpress.com.
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spelling pubmed-40989532014-07-25 The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation Malone, James Brown, Andy Lister, Allyson L Ison, Jon Hull, Duncan Parkinson, Helen Stevens, Robert J Biomed Semantics Database MOTIVATION: Biomedical ontologists to date have concentrated on ontological descriptions of biomedical entities such as gene products and their attributes, phenotypes and so on. Recently, effort has diversified to descriptions of the laboratory investigations by which these entities were produced. However, much biological insight is gained from the analysis of the data produced from these investigations, and there is a lack of adequate descriptions of the wide range of software that are central to bioinformatics. We need to describe how data are analyzed for discovery, audit trails, provenance and reproducibility. RESULTS: The Software Ontology (SWO) is a description of software used to store, manage and analyze data. Input to the SWO has come from beyond the life sciences, but its main focus is the life sciences. We used agile techniques to gather input for the SWO and keep engagement with our users. The result is an ontology that meets the needs of a broad range of users by describing software, its information processing tasks, data inputs and outputs, data formats versions and so on. Recently, the SWO has incorporated EDAM, a vocabulary for describing data and related concepts in bioinformatics. The SWO is currently being used to describe software used in multiple biomedical applications. CONCLUSION: The SWO is another element of the biomedical ontology landscape that is necessary for the description of biomedical entities and how they were discovered. An ontology of software used to analyze data produced by investigations in the life sciences can be made in such a way that it covers the important features requested and prioritized by its users. The SWO thus fits into the landscape of biomedical ontologies and is produced using techniques designed to keep it in line with user’s needs. AVAILABILITY: The Software Ontology is available under an Apache 2.0 license at http://theswo.sourceforge.net/; the Software Ontology blog can be read at http://softwareontology.wordpress.com. BioMed Central 2014-06-02 /pmc/articles/PMC4098953/ /pubmed/25068035 http://dx.doi.org/10.1186/2041-1480-5-25 Text en Copyright © 2014 Malone et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Database
Malone, James
Brown, Andy
Lister, Allyson L
Ison, Jon
Hull, Duncan
Parkinson, Helen
Stevens, Robert
The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation
title The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation
title_full The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation
title_fullStr The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation
title_full_unstemmed The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation
title_short The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation
title_sort software ontology (swo): a resource for reproducibility in biomedical data analysis, curation and digital preservation
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4098953/
https://www.ncbi.nlm.nih.gov/pubmed/25068035
http://dx.doi.org/10.1186/2041-1480-5-25
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