一个用户友好的NoSQL框架,用于管理农业实地试验数据
Steven H Wu1, Tristan A Mueller2
1Department of Agronomy, National Taiwan University, Taipei, Taiwan. stevenwu@ntu.edu.tw.
Scientific reports
|November 30, 2024
概括
DynamoField提供了一个灵活的数据库框架,用于管理农业实地试验数据. 该系统使用NoSQL数据库无地适应不断变化的数据类型和合作者,为研究人员简化数据分析.
科学领域:
- 农业科学 农业科学
- 数据管理数据管理
- 计算生物学 计算生物学
背景情况:
- 实地试验对于农产品开发至关重要,在现实条件下验证产品.
- 技术的进步从实地试验中产生了大量,多样化的数据集,这给研究团队带来了管理挑战.
- 不断发展的数据收集流程,多个合作者和新的数据类型使传统的数据库管理变得复杂.
研究的目的:
- 介绍DynamoField,一个灵活的数据库框架,用于收集和分析农业实地试验数据.
- 为管理农业研究中复杂和不断变化的数据集提供解决方案.
- 为具有不同技术专业知识的研究人员提供无数据集成和分析.
主要方法:
- 开发了DynamoField,后端由亚马逊网络服务DynamoDB (NoSQL数据库) 提供支持.
- 集成了一个前端交互式Web界面,以实现用户可访问性.
- 实现了用于数据进出口,集成,操纵和统计分析的功能.
主要成果:
- DynamoField提供了一个灵活的方案,可以适应来自合作者和合同研究组织的各种数据.
- 该框架支持非技术用户使用用户友好的数据管理和分析工具.
- 利用云计算进行安全,低维护的数据库建立和全球协作.
结论:
- DynamoField提供了一个可扩展和适应的解决方案,用于管理农业实地试验数据.
- 该框架增强了全球农业研究人员的协作和数据分析能力.
- 它灵活的NoSQL架构能够适应不断变化的研究需求和数据策略.
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