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农业数据库的评估模型:关节动物农药耐药性数据库作为案例研究
Jane Payumo1, Julia Bello-Bravo2, Vineeth Chennuru1
1Research Evaluation and Data Analytics, MSU AgBioResearch, Michigan State University, East Lansing, MI 48824, USA.
Insects
|October 25, 2024
概括
本研究引入了一个框架来评估农业数据库,如关节动物农药耐药性数据库,评估它们在数字经济中的影响和实用性. 它为衡量这些重要数字工具的有效性提供了指导和指标.
科学领域:
- 农业科学 农业科学
- 数字经济数字经济
- 信息科学 信息科学 信息科学
背景情况:
- 数字经济需要对农业数据库进行强有力的评估.
- 评估这些资源的实用性和影响对于创新至关重要.
- 关节动物农药耐药性数据库是一个关键的全球资源.
研究的目的:
- 提出评估农业数据库的多方法方法.
- 为评估数据库有效性和影响提供一个框架.
- 为农业数字经济的利益相关者提供实际指导.
主要方法:
- 开发了一种多方法评估方法.
- 专注于关节动物抗农药数据库作为一个案例研究.
- 引入了一种基于指数的方法,评估多个影响维度.
主要成果:
- 建立了一个全面的农业数据库评估框架.
- 使用全球农药耐药性数据库证明了框架的实用性.
- 提供了验证贡献和影响的指标.
结论:
- 拟议的框架有效地衡量了农业数据库的影响.
- 这种方法可以指导类似数字工具的开发和评估.
- 有效的数据库评估支持农业决策和创新.
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