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biotoolsSchema: a formalized schema for bioinformatics software description
BACKGROUND: Life scientists routinely face massive and heterogeneous data analysis tasks and must find and access the most suitable databases or software in a jungle of web-accessible resources. The diversity of information used to describe life-scientific digital resources presents an obstacle to t...
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/PMC7842104/ https://www.ncbi.nlm.nih.gov/pubmed/33506265 http://dx.doi.org/10.1093/gigascience/giaa157 |
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author | Ison, Jon Ienasescu, Hans Rydza, Emil Chmura, Piotr Rapacki, Kristoffer Gaignard, Alban Schwämmle, Veit van Helden, Jacques Kalaš, Matúš Ménager, Hervé |
author_facet | Ison, Jon Ienasescu, Hans Rydza, Emil Chmura, Piotr Rapacki, Kristoffer Gaignard, Alban Schwämmle, Veit van Helden, Jacques Kalaš, Matúš Ménager, Hervé |
author_sort | Ison, Jon |
collection | PubMed |
description | BACKGROUND: Life scientists routinely face massive and heterogeneous data analysis tasks and must find and access the most suitable databases or software in a jungle of web-accessible resources. The diversity of information used to describe life-scientific digital resources presents an obstacle to their utilization. Although several standardization efforts are emerging, no information schema has been sufficiently detailed to enable uniform semantic and syntactic description—and cataloguing—of bioinformatics resources. FINDINGS: Here we describe biotoolsSchema, a formalized information model that balances the needs of conciseness for rapid adoption against the provision of rich technical information and scientific context. biotoolsSchema results from a series of community-driven workshops and is deployed in the bio.tools registry, providing the scientific community with >17,000 machine-readable and human-understandable descriptions of software and other digital life-science resources. We compare our approach to related initiatives and provide alignments to foster interoperability and reusability. CONCLUSIONS: biotoolsSchema supports the formalized, rigorous, and consistent specification of the syntax and semantics of bioinformatics resources, and enables cataloguing efforts such as bio.tools that help scientists to find, comprehend, and compare resources. The use of biotoolsSchema in bio.tools promotes the FAIRness of research software, a key element of open and reproducible developments for data-intensive sciences. |
format | Online Article Text |
id | pubmed-7842104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-78421042021-02-02 biotoolsSchema: a formalized schema for bioinformatics software description Ison, Jon Ienasescu, Hans Rydza, Emil Chmura, Piotr Rapacki, Kristoffer Gaignard, Alban Schwämmle, Veit van Helden, Jacques Kalaš, Matúš Ménager, Hervé Gigascience Technical Note BACKGROUND: Life scientists routinely face massive and heterogeneous data analysis tasks and must find and access the most suitable databases or software in a jungle of web-accessible resources. The diversity of information used to describe life-scientific digital resources presents an obstacle to their utilization. Although several standardization efforts are emerging, no information schema has been sufficiently detailed to enable uniform semantic and syntactic description—and cataloguing—of bioinformatics resources. FINDINGS: Here we describe biotoolsSchema, a formalized information model that balances the needs of conciseness for rapid adoption against the provision of rich technical information and scientific context. biotoolsSchema results from a series of community-driven workshops and is deployed in the bio.tools registry, providing the scientific community with >17,000 machine-readable and human-understandable descriptions of software and other digital life-science resources. We compare our approach to related initiatives and provide alignments to foster interoperability and reusability. CONCLUSIONS: biotoolsSchema supports the formalized, rigorous, and consistent specification of the syntax and semantics of bioinformatics resources, and enables cataloguing efforts such as bio.tools that help scientists to find, comprehend, and compare resources. The use of biotoolsSchema in bio.tools promotes the FAIRness of research software, a key element of open and reproducible developments for data-intensive sciences. Oxford University Press 2021-01-27 /pmc/articles/PMC7842104/ /pubmed/33506265 http://dx.doi.org/10.1093/gigascience/giaa157 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of GigaScience. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Note Ison, Jon Ienasescu, Hans Rydza, Emil Chmura, Piotr Rapacki, Kristoffer Gaignard, Alban Schwämmle, Veit van Helden, Jacques Kalaš, Matúš Ménager, Hervé biotoolsSchema: a formalized schema for bioinformatics software description |
title | biotoolsSchema: a formalized schema for bioinformatics software description |
title_full | biotoolsSchema: a formalized schema for bioinformatics software description |
title_fullStr | biotoolsSchema: a formalized schema for bioinformatics software description |
title_full_unstemmed | biotoolsSchema: a formalized schema for bioinformatics software description |
title_short | biotoolsSchema: a formalized schema for bioinformatics software description |
title_sort | biotoolsschema: a formalized schema for bioinformatics software description |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7842104/ https://www.ncbi.nlm.nih.gov/pubmed/33506265 http://dx.doi.org/10.1093/gigascience/giaa157 |
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