dc.creatorCrescente, Juan Manuel
dc.creatorGuidobaldi, Fabio
dc.creatorDemichelis, Melina
dc.creatorFormica, Maria Beatriz
dc.creatorHelguera, Marcelo
dc.creatorVanzetti, Leonardo Sebastian
dc.date.accessioned2017-11-09T14:12:56Z
dc.date.accessioned2023-03-15T13:53:05Z
dc.date.available2017-11-09T14:12:56Z
dc.date.available2023-03-15T13:53:05Z
dc.date.created2017-11-09T14:12:56Z
dc.date.issued2017-04
dc.identifier2047-217X
dc.identifierhttps://doi.org/10.1093/gigascience/giw019
dc.identifierhttp://hdl.handle.net/20.500.12123/1732
dc.identifierhttps://academic.oup.com/gigascience/article-lookup/doi/10.1093/gigascience/giw019
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6205083
dc.description.abstractBackground: 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
dc.languageeng
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceGigaScience 6 (4) : 1–5 (April 2017)
dc.subjectFenotipos
dc.subjectColección de Datos
dc.subjectDesarrollo de Programas
dc.subjectPhenotypes
dc.subjectData Collection
dc.subjectSoftware Development
dc.titlePhenobook : an open source software for phenotypic data collection
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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