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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530315/ https://www.ncbi.nlm.nih.gov/pubmed/28327910 http://dx.doi.org/10.1093/gigascience/giw019 |
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author | Crescente, Juan M. Guidobaldi, Fabio Demichelis, Melina Formica, Maria B. Helguera, Marcelo Vanzetti, Leonardo S. |
author_facet | Crescente, Juan M. Guidobaldi, Fabio Demichelis, Melina Formica, Maria B. Helguera, Marcelo Vanzetti, Leonardo S. |
author_sort | Crescente, Juan M. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-5530315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55303152017-07-31 Phenobook: an open source software for phenotypic data collection Crescente, Juan M. Guidobaldi, Fabio Demichelis, Melina Formica, Maria B. Helguera, Marcelo Vanzetti, Leonardo S. Gigascience Technical Note 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. Oxford University Press 2017-02-24 /pmc/articles/PMC5530315/ /pubmed/28327910 http://dx.doi.org/10.1093/gigascience/giw019 Text en © The Author 2017. 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 | Technical Note Crescente, Juan M. Guidobaldi, Fabio Demichelis, Melina Formica, Maria B. Helguera, Marcelo Vanzetti, Leonardo S. 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 | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530315/ https://www.ncbi.nlm.nih.gov/pubmed/28327910 http://dx.doi.org/10.1093/gigascience/giw019 |
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