Phenobook : an open source software for phenotypic data collection

Background: Research projects often involve observation, registration, and data processing starting from information obtained in field experiments. In many cases, these tasks are carried out by several persons in different places, times, and ways, adding different levels of complexity and error in d...

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Main Authors: Crescente, Juan Manuel, Guidobaldi, Fabio, Demichelis, Melina, Formica, Maria Beatriz, Helguera, Marcelo, Vanzetti, Leonardo Sebastian
Format: info:ar-repo/semantics/artículo
Language:Inglés
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/20.500.12123/1732
https://academic.oup.com/gigascience/article-lookup/doi/10.1093/gigascience/giw019
https://doi.org/10.1093/gigascience/giw019
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author Crescente, Juan Manuel
Guidobaldi, Fabio
Demichelis, Melina
Formica, Maria Beatriz
Helguera, Marcelo
Vanzetti, Leonardo Sebastian
author_browse Crescente, Juan Manuel
Demichelis, Melina
Formica, Maria Beatriz
Guidobaldi, Fabio
Helguera, Marcelo
Vanzetti, Leonardo Sebastian
author_facet Crescente, Juan Manuel
Guidobaldi, Fabio
Demichelis, Melina
Formica, Maria Beatriz
Helguera, Marcelo
Vanzetti, Leonardo Sebastian
author_sort Crescente, Juan Manuel
collection INTA Digital
description Background: Research projects often involve observation, registration, and data processing starting from information obtained in field experiments. In many cases, these tasks are carried out by several persons in different places, times, and ways, adding different levels of complexity and error in data collecting. Furthermore, data processing can be time consuming, and input errors may produce unwanted results. Results: We have developed a novel, open source software called Phenobook, an easy, flexible, and intuitive tool to organize, collect, and save experimental data for further analyses. Phenobook was conceived to collect phenotypic observations in a user-friendly, cost-effective way. It consists of a web-based software for experiment design, data input and visualization, and exportation, combined with a mobile application for remote data collecting. We provide in this article a detailed description of the developed tool. Conclusion: Phenobook is a software tool that can be easily implemented in collaborative research and development projects involving data collecting and forward analyses. Adopting Phenobook is expected to improve the involved processes by minimizing input errors, resulting in higher quality and reliability of the research outcomes
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institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
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publishDate 2017
publishDateRange 2017
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spelling INTA17322017-11-14T16:44:20Z Phenobook : an open source software for phenotypic data collection Crescente, Juan Manuel Guidobaldi, Fabio Demichelis, Melina Formica, Maria Beatriz Helguera, Marcelo Vanzetti, Leonardo Sebastian Fenotipos Colección de Datos Desarrollo de Programas Phenotypes Data Collection Software Development Background: Research projects often involve observation, registration, and data processing starting from information obtained in field experiments. In many cases, these tasks are carried out by several persons in different places, times, and ways, adding different levels of complexity and error in data collecting. Furthermore, data processing can be time consuming, and input errors may produce unwanted results. Results: We have developed a novel, open source software called Phenobook, an easy, flexible, and intuitive tool to organize, collect, and save experimental data for further analyses. Phenobook was conceived to collect phenotypic observations in a user-friendly, cost-effective way. It consists of a web-based software for experiment design, data input and visualization, and exportation, combined with a mobile application for remote data collecting. We provide in this article a detailed description of the developed tool. Conclusion: Phenobook is a software tool that can be easily implemented in collaborative research and development projects involving data collecting and forward analyses. Adopting Phenobook is expected to improve the involved processes by minimizing input errors, resulting in higher quality and reliability of the research outcomes Fil: Crescente, Juan Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Grupo Biotecnología y Recursos Genéticos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Guidobaldi, Fabio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Grupo Biotecnología y Recursos Genéticos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Demichelis, Melina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Grupo Biotecnología y Recursos Genéticos; Argentina Fil: Formica, Maria Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Grupo Biotecnología y Recursos Genéticos; Argentina Fil: Helguera, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Grupo Biotecnología y Recursos Genéticos; Argentina Fil: Vanzetti, Leonardo Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Grupo Biotecnología y Recursos Genéticos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina 2017-11-09T14:12:56Z 2017-11-09T14:12:56Z 2017-04 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/1732 https://academic.oup.com/gigascience/article-lookup/doi/10.1093/gigascience/giw019 2047-217X https://doi.org/10.1093/gigascience/giw019 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf GigaScience 6 (4) : 1–5 (April 2017)
spellingShingle Fenotipos
Colección de Datos
Desarrollo de Programas
Phenotypes
Data Collection
Software Development
Crescente, Juan Manuel
Guidobaldi, Fabio
Demichelis, Melina
Formica, Maria Beatriz
Helguera, Marcelo
Vanzetti, Leonardo Sebastian
Phenobook : an open source software for phenotypic data collection
title Phenobook : an open source software for phenotypic data collection
title_full Phenobook : an open source software for phenotypic data collection
title_fullStr Phenobook : an open source software for phenotypic data collection
title_full_unstemmed Phenobook : an open source software for phenotypic data collection
title_short Phenobook : an open source software for phenotypic data collection
title_sort phenobook an open source software for phenotypic data collection
topic Fenotipos
Colección de Datos
Desarrollo de Programas
Phenotypes
Data Collection
Software Development
url http://hdl.handle.net/20.500.12123/1732
https://academic.oup.com/gigascience/article-lookup/doi/10.1093/gigascience/giw019
https://doi.org/10.1093/gigascience/giw019
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