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A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices
BACKGROUND: Plant breeding and genetics demand fast, exact and reproducible phenotyping. Efficient statistical evaluation of phenotyping data requires standardised data storage ensuring long-term data availability while maintaining intellectual property rights. This is state of the art at phenomics...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393613/ https://www.ncbi.nlm.nih.gov/pubmed/25866550 http://dx.doi.org/10.1186/s13007-015-0069-3 |
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author | Köhl, Karin Gremmels, Jürgen |
author_facet | Köhl, Karin Gremmels, Jürgen |
author_sort | Köhl, Karin |
collection | PubMed |
description | BACKGROUND: Plant breeding and genetics demand fast, exact and reproducible phenotyping. Efficient statistical evaluation of phenotyping data requires standardised data storage ensuring long-term data availability while maintaining intellectual property rights. This is state of the art at phenomics centres, which, however, are unavailable for most scientists. For them we developed a simple and cost-efficient system, the Phenotyper, which employs mobile devices or personal digital assistants (PDA) for on-site data entry and open-source software for data management. RESULTS: A graphical user interface (GUI) on a PDA replaces paper-based form sheet and data entry on a desktop. The user can define his phenotyping schemes in a web tool without in-depth knowledge of the system and thus adjust it more easily to new research aspects than in a classical laboratory information management system (LIMS). In the Phenotyper, schemes are built from controlled vocabulary gained from published ontologies. Vocabulary and schemes are stored in a database that also manages the user access. From the web page, schemes are downloaded as extended markup language (XML) files for the transfer to the PDA and the exchange between users. On the PDA, the GUI displays the schemes and stores data in comma separated value format and XML format. After manual quality control, data are uploaded via a web page to an independently hosted results database, in which data are stored in an entity-attribute-value structure to provide maximum flexibility. Datasets are linked to the original and curated data files stored on a file server. The ownership stamp, project affiliation and date stamp of a dataset are used to regulate data access, which is restricted to data belonging to the user or to his projects and data, for which the embargo period has ended. By export of standardised ASCII reports to long-term data storage facility, long-term accessibility allows searching, citing and use of raw data beyond the lifetime of the database. The Phenotyper is available to the scientific community for use and further development. CONCLUSIONS: The Phenotyper provides a well-structured, but flexible data acquisition and management structure for mobile on-site measurements for efficient evaluation and shared use of data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13007-015-0069-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4393613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43936132015-04-12 A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices Köhl, Karin Gremmels, Jürgen Plant Methods Software BACKGROUND: Plant breeding and genetics demand fast, exact and reproducible phenotyping. Efficient statistical evaluation of phenotyping data requires standardised data storage ensuring long-term data availability while maintaining intellectual property rights. This is state of the art at phenomics centres, which, however, are unavailable for most scientists. For them we developed a simple and cost-efficient system, the Phenotyper, which employs mobile devices or personal digital assistants (PDA) for on-site data entry and open-source software for data management. RESULTS: A graphical user interface (GUI) on a PDA replaces paper-based form sheet and data entry on a desktop. The user can define his phenotyping schemes in a web tool without in-depth knowledge of the system and thus adjust it more easily to new research aspects than in a classical laboratory information management system (LIMS). In the Phenotyper, schemes are built from controlled vocabulary gained from published ontologies. Vocabulary and schemes are stored in a database that also manages the user access. From the web page, schemes are downloaded as extended markup language (XML) files for the transfer to the PDA and the exchange between users. On the PDA, the GUI displays the schemes and stores data in comma separated value format and XML format. After manual quality control, data are uploaded via a web page to an independently hosted results database, in which data are stored in an entity-attribute-value structure to provide maximum flexibility. Datasets are linked to the original and curated data files stored on a file server. The ownership stamp, project affiliation and date stamp of a dataset are used to regulate data access, which is restricted to data belonging to the user or to his projects and data, for which the embargo period has ended. By export of standardised ASCII reports to long-term data storage facility, long-term accessibility allows searching, citing and use of raw data beyond the lifetime of the database. The Phenotyper is available to the scientific community for use and further development. CONCLUSIONS: The Phenotyper provides a well-structured, but flexible data acquisition and management structure for mobile on-site measurements for efficient evaluation and shared use of data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13007-015-0069-3) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-07 /pmc/articles/PMC4393613/ /pubmed/25866550 http://dx.doi.org/10.1186/s13007-015-0069-3 Text en © Köhl and Gremmels; licensee BioMed Central. 2015 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 use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Köhl, Karin Gremmels, Jürgen A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices |
title | A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices |
title_full | A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices |
title_fullStr | A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices |
title_full_unstemmed | A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices |
title_short | A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices |
title_sort | software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393613/ https://www.ncbi.nlm.nih.gov/pubmed/25866550 http://dx.doi.org/10.1186/s13007-015-0069-3 |
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