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Data pipeline for managing field experiments
Jian Liu1, Rogerio Cichota1, Stephanie Langer1
1The New Zealand Institute for Plant and Food Research Limited, New Zealand.
Methodsx
|February 16, 2023
Summary
Researchers developed a custom, interactive dashboard using open-source software to aid complex agricultural and environmental science experiments. This system offers timely data interpretation and decision support, reducing costs and specialist requirements.
Area of Science:
- Agricultural science
- Environmental science
- Data science
Background:
- Increasing complexity in agricultural and environmental research necessitates advanced experiment management and data handling.
- Interactive visualization tools offer user-friendly, real-time data interpretation for improved decision-making.
- Commercial visualization solutions can be costly and require specialized expertise for development.
Purpose of the Study:
- To develop a cost-effective, customized interactive dashboard system for science experiment decision support.
- To leverage open-source software for creating a near real-time data visualization solution.
- To address the growing demand for efficient data handling in complex research projects.
Main Methods:
- Utilized open-source software to design and implement a customized interactive dashboard.
- Integrated digitalized domain knowledge into the decision support system.
- Developed an automated workflow for efficient execution of necessary components.
- Employed modular design principles for maintainability and scalability.
Main Results:
- Successfully created a near real-time interactive dashboard tailored to specific research needs.
- Enabled digitalized domain knowledge integration through open-source tools.
- Implemented an automated workflow reducing computational overhead.
- Achieved lower maintenance costs and facilitated easier upgrades due to modularity.
Conclusions:
- Customized, open-source interactive dashboards provide a viable and cost-effective solution for supporting complex scientific research.
- The developed system enhances data interpretation and decision-making capabilities in agricultural and environmental studies.
- This approach offers a flexible, low-maintenance alternative to expensive, off-the-shelf visualization tools.
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