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PGP repository: a plant phenomics and genomics data publication infrastructure

Plant genomics and phenomics represents the most promising tools for accelerating yield gains and overcoming emerging crop productivity bottlenecks. However, accessing this wealth of plant diversity requires the characterization of this material using state-of-the-art genomic, phenomic and molecular...

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Autores principales: Arend, Daniel, Junker, Astrid, Scholz, Uwe, Schüler, Danuta, Wylie, Juliane, Lange, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4834206/
https://www.ncbi.nlm.nih.gov/pubmed/27087305
http://dx.doi.org/10.1093/database/baw033
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author Arend, Daniel
Junker, Astrid
Scholz, Uwe
Schüler, Danuta
Wylie, Juliane
Lange, Matthias
author_facet Arend, Daniel
Junker, Astrid
Scholz, Uwe
Schüler, Danuta
Wylie, Juliane
Lange, Matthias
author_sort Arend, Daniel
collection PubMed
description Plant genomics and phenomics represents the most promising tools for accelerating yield gains and overcoming emerging crop productivity bottlenecks. However, accessing this wealth of plant diversity requires the characterization of this material using state-of-the-art genomic, phenomic and molecular technologies and the release of subsequent research data via a long-term stable, open-access portal. Although several international consortia and public resource centres offer services for plant research data management, valuable digital assets remains unpublished and thus inaccessible to the scientific community. Recently, the Leibniz Institute of Plant Genetics and Crop Plant Research and the German Plant Phenotyping Network have jointly initiated the Plant Genomics and Phenomics Research Data Repository (PGP) as infrastructure to comprehensively publish plant research data. This covers in particular cross-domain datasets that are not being published in central repositories because of its volume or unsupported data scope, like image collections from plant phenotyping and microscopy, unfinished genomes, genotyping data, visualizations of morphological plant models, data from mass spectrometry as well as software and documents. The repository is hosted at Leibniz Institute of Plant Genetics and Crop Plant Research using e!DAL as software infrastructure and a Hierarchical Storage Management System as data archival backend. A novel developed data submission tool was made available for the consortium that features a high level of automation to lower the barriers of data publication. After an internal review process, data are published as citable digital object identifiers and a core set of technical metadata is registered at DataCite. The used e!DAL-embedded Web frontend generates for each dataset a landing page and supports an interactive exploration. PGP is registered as research data repository at BioSharing.org, re3data.org and OpenAIRE as valid EU Horizon 2020 open data archive. Above features, the programmatic interface and the support of standard metadata formats, enable PGP to fulfil the FAIR data principles—findable, accessible, interoperable, reusable. Database URL: http://edal.ipk-gatersleben.de/repos/pgp/
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spelling pubmed-48342062016-04-18 PGP repository: a plant phenomics and genomics data publication infrastructure Arend, Daniel Junker, Astrid Scholz, Uwe Schüler, Danuta Wylie, Juliane Lange, Matthias Database (Oxford) Original Article Plant genomics and phenomics represents the most promising tools for accelerating yield gains and overcoming emerging crop productivity bottlenecks. However, accessing this wealth of plant diversity requires the characterization of this material using state-of-the-art genomic, phenomic and molecular technologies and the release of subsequent research data via a long-term stable, open-access portal. Although several international consortia and public resource centres offer services for plant research data management, valuable digital assets remains unpublished and thus inaccessible to the scientific community. Recently, the Leibniz Institute of Plant Genetics and Crop Plant Research and the German Plant Phenotyping Network have jointly initiated the Plant Genomics and Phenomics Research Data Repository (PGP) as infrastructure to comprehensively publish plant research data. This covers in particular cross-domain datasets that are not being published in central repositories because of its volume or unsupported data scope, like image collections from plant phenotyping and microscopy, unfinished genomes, genotyping data, visualizations of morphological plant models, data from mass spectrometry as well as software and documents. The repository is hosted at Leibniz Institute of Plant Genetics and Crop Plant Research using e!DAL as software infrastructure and a Hierarchical Storage Management System as data archival backend. A novel developed data submission tool was made available for the consortium that features a high level of automation to lower the barriers of data publication. After an internal review process, data are published as citable digital object identifiers and a core set of technical metadata is registered at DataCite. The used e!DAL-embedded Web frontend generates for each dataset a landing page and supports an interactive exploration. PGP is registered as research data repository at BioSharing.org, re3data.org and OpenAIRE as valid EU Horizon 2020 open data archive. Above features, the programmatic interface and the support of standard metadata formats, enable PGP to fulfil the FAIR data principles—findable, accessible, interoperable, reusable. Database URL: http://edal.ipk-gatersleben.de/repos/pgp/ Oxford University Press 2016-04-16 /pmc/articles/PMC4834206/ /pubmed/27087305 http://dx.doi.org/10.1093/database/baw033 Text en © The Author(s) 2016. Published by Oxford University Press. 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 Original Article
Arend, Daniel
Junker, Astrid
Scholz, Uwe
Schüler, Danuta
Wylie, Juliane
Lange, Matthias
PGP repository: a plant phenomics and genomics data publication infrastructure
title PGP repository: a plant phenomics and genomics data publication infrastructure
title_full PGP repository: a plant phenomics and genomics data publication infrastructure
title_fullStr PGP repository: a plant phenomics and genomics data publication infrastructure
title_full_unstemmed PGP repository: a plant phenomics and genomics data publication infrastructure
title_short PGP repository: a plant phenomics and genomics data publication infrastructure
title_sort pgp repository: a plant phenomics and genomics data publication infrastructure
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4834206/
https://www.ncbi.nlm.nih.gov/pubmed/27087305
http://dx.doi.org/10.1093/database/baw033
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