可视化数据互操作性用于食品系统的可持续性研究-从蜘蛛网到神经网络
Emily M Jennings-Dobbs1, Shavawn M Forester1, Adam Drewnowski2
1Nutrient Institute, Reno, NV, United States.
Current developments in nutrition
|November 2, 2023
概括
改善食品系统需要连接封闭数据. 开发数据库之间的互操作性和交叉路口是可持续食品研究的关键,从农业到健康.
科学领域:
- 可持续食品系统的跨学科研究.
- 整合了健康,营养,经济,社会和环境领域.
背景情况:
- 全球粮食系统面临着养不断增长的人口的挑战.
- 缺乏跨不同研究领域的数据互操作性阻碍了进展.
- 关于气候,农业,营养和健康的数据库阻碍了全面的分析.
研究的目的:
- 评估食品系统研究的数据库互操作性.
- 识别行人交叉路口和数据集成方面的差距.
- 展示一个概念验证,以提高数据连接.
主要方法:
- 与美国农业部的食品数据中心一起开始评估.
- 识别了数据库之间现有的行人交叉路口和可视化.
- 来自多个学科的评估数据,包括气候,土壤,农业,营养和健康.
主要成果:
- 展示了可视化数据互操作性的概念验证.
- 确定了需要扩展,整合和协调的特定数据库.
- 突出了连接关键粮食系统数据的行人过道的不发达性质.
结论:
- 互操作性对于推进食品系统研究至关重要.
- 实体学和明确的交叉路口对于连接隔离数据至关重要.
- 跨越农业和健康数据通道需要加强数据整合.
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