Artículo
Phenobook: An open source software for phenotypic data collection
Crescente, Juan Manuel
; Guidobaldi, Fabio
; Demichelis, Melina; Formica, Maria B.; Helguera, Marcelo; Vanzetti, Leonardo Sebastián
Fecha de publicación:
04/2017
Editorial:
Oxford University Press
Revista:
GigaScience
ISSN:
2047-217X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
BIG DATA
,
DATA COLLECTION
,
DATABASE
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Crescente, Juan Manuel; Guidobaldi, Fabio; Demichelis, Melina; Formica, Maria B.; Helguera, Marcelo; et al.; Phenobook: An open source software for phenotypic data collection; Oxford University Press; GigaScience; 6; 4; 4-2017; 1-5
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