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Data pipeline for managing field experiments
As agricultural and environmental research projects become more complex, increasingly with multiple outcomes, the demand for technical support with experiment management and data handling has also increased. Interactive visualisation solutions are user-friendly and provide direct information to faci...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922957/ https://www.ncbi.nlm.nih.gov/pubmed/36793675 http://dx.doi.org/10.1016/j.mex.2023.102031 |
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author | Liu, Jian Cichota, Rogerio Langer, Stephanie Burgueño, Eric Michel, Alexandre |
author_facet | Liu, Jian Cichota, Rogerio Langer, Stephanie Burgueño, Eric Michel, Alexandre |
author_sort | Liu, Jian |
collection | PubMed |
description | As agricultural and environmental research projects become more complex, increasingly with multiple outcomes, the demand for technical support with experiment management and data handling has also increased. Interactive visualisation solutions are user-friendly and provide direct information to facilitate decision making with timely data interpretation. Existing off-the-shelf tools can be expensive and require a specialist to conduct the development of visualisation solutions. We used open-source software to develop a customised near real-time interactive dashboard system to support science experiment decision making. Our customisation allowed for: • Digitalised domain knowledge via open-source solutions to develop decision support systems. • Automated workflow that only executed the necessary components. • Modularised solutions for low maintenance cost and upgrades. |
format | Online Article Text |
id | pubmed-9922957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99229572023-02-14 Data pipeline for managing field experiments Liu, Jian Cichota, Rogerio Langer, Stephanie Burgueño, Eric Michel, Alexandre MethodsX Method Article As agricultural and environmental research projects become more complex, increasingly with multiple outcomes, the demand for technical support with experiment management and data handling has also increased. Interactive visualisation solutions are user-friendly and provide direct information to facilitate decision making with timely data interpretation. Existing off-the-shelf tools can be expensive and require a specialist to conduct the development of visualisation solutions. We used open-source software to develop a customised near real-time interactive dashboard system to support science experiment decision making. Our customisation allowed for: • Digitalised domain knowledge via open-source solutions to develop decision support systems. • Automated workflow that only executed the necessary components. • Modularised solutions for low maintenance cost and upgrades. Elsevier 2023-01-19 /pmc/articles/PMC9922957/ /pubmed/36793675 http://dx.doi.org/10.1016/j.mex.2023.102031 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Method Article Liu, Jian Cichota, Rogerio Langer, Stephanie Burgueño, Eric Michel, Alexandre Data pipeline for managing field experiments |
title | Data pipeline for managing field experiments |
title_full | Data pipeline for managing field experiments |
title_fullStr | Data pipeline for managing field experiments |
title_full_unstemmed | Data pipeline for managing field experiments |
title_short | Data pipeline for managing field experiments |
title_sort | data pipeline for managing field experiments |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922957/ https://www.ncbi.nlm.nih.gov/pubmed/36793675 http://dx.doi.org/10.1016/j.mex.2023.102031 |
work_keys_str_mv | AT liujian datapipelineformanagingfieldexperiments AT cichotarogerio datapipelineformanagingfieldexperiments AT langerstephanie datapipelineformanagingfieldexperiments AT burguenoeric datapipelineformanagingfieldexperiments AT michelalexandre datapipelineformanagingfieldexperiments |