Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Jian, Cichota, Rogerio, Langer, Stephanie, Burgueño, Eric, Michel, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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
_version_ 1784887642972749824
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