通过社会实践镜头探索数据差距:对英国牛牧场主进行的定性研究
C Doidge1, L Palczynski2, X Zhou3
1School of Veterinary Medicine & Science, University of Nottingham, Sutton Bonington LE12 5RD, UK.
Preventive veterinary medicine
|October 8, 2023
概括
农业的数据差距阻碍了可持续的实践. 这项研究表明,技能的脱节,负面含义和缺乏反会在数据收集和在牛肉和乳制品运营中使用数据之间造成差距.
科学领域:
- 农业科学 农业科学
- 技术社会学技术的社会学.
- 信息系统信息系统信息系统
背景情况:
- 可持续和利的牛肉和奶牛养殖依赖于明智的管理决策.
- 数据驱动技术为改进决策提供了潜力,但已经创造了
- 数据划分数据划分
- 数据的生成和利用之间存在差距.
研究的目的:
- 了解英国牛场的年轻牛群数据实践的出现,联系和繁殖.
- 为了分析这些
- 数据划分数据划分
- 使用社会实践理论.
主要方法:
- 八个焦点小组与15个牛肉和19个奶牛农进行了调查.
- 讨论涉及数据使用,技术采用,年轻牲畜疾病管理和农场目标.
- 转录的数据通过社会实践镜头使用反射主题分析来分析.
主要成果:
- 数据的分歧源于破坏意义,能力紧张,空间/时间的断开,以及不充分的反.
- 由于负面关联,数据准备经常被避免.
- 农民认为数据实践属于较大的奶牛场,可能会排除其他奶牛场.
- 报告称,缺乏使用技术和将数据转化为可操作的见解的技能.
- 农民更喜欢户外工作,而不是办公室数据任务.
- 缺乏数据收集/分析标准化阻碍了基准测试.
- 报告指出,在与数据相关的讨论中,对同行或兽医的支持是有限的.
结论:
- 数据分歧的特点是实践 (能力,意义),实践之间 (时间,空间) 和实践中的复制 (反) 之间的断开.
- 改进数据使用需要通过让农民参与技术设计来改变实践,使其与他们的价值观和技能保持一致.
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