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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...

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Autores principales: Ison, Jon, Ienasescu, Hans, Rydza, Emil, Chmura, Piotr, Rapacki, Kristoffer, Gaignard, Alban, Schwämmle, Veit, van Helden, Jacques, Kalaš, Matúš, Ménager, Hervé
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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.
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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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