构建爱荷华州数据驱动:一种参与式方法,用于为州和地方政策制定制定幼儿时代指标
Heather Rouse1, Sharon Zanti1, Hannah Kim1
1Iowa State University.
International journal of population data science
|November 20, 2025
概括
爱荷华 爱荷华 爱荷华 爱荷华
科学领域:
- 公共卫生数据系统
- 幼儿教育政策 幼儿教育政策
- 信息学和数据科学 信息学和数据科学
背景情况:
- 公共服务领导者面临的挑战是有效地利用数据,因为程序孤岛,资源限制,和数据的复杂性.
- 爱荷华州的决策综合数据系统 (I2D2) 倡议解决了早期儿童部门的这些挑战.
- 有效的数据使用对于改善公共服务政策和实践至关重要.
研究的目的:
- 与州和地方领导人合作,策划儿童早期关键指标.
- 开发人口层面的数据工具和培训,以加强数据驱动的决策.
- 通过数据整合,促进政策和实践改善幼儿服务.
主要方法:
- 采用混合方法,参与式方法来了解数据需求和使用情况.
- 数据景观概述包括采访,调查,文档审查和利益相关者会议.
- 公共审议和反复反促进了集体决策.
主要成果:
- 建立了一个精心策划的早期儿童指标集.
- 为了有效利用数据,开发了培训和战略规划工具.
- 爱荷华数据驱动器 (IDD) 是一个交互式数据门户网站,旨在获取关键指标和见解.
结论:
- 一个强大的综合数据系统 (IDS) 可以通过强大的伙伴关系和清晰的沟通来推动系统的变化.
- 集中当地声音和培养信任是开发有效数据工具的关键.
- 开发的指标和工具支持基于数据的决策,以改善幼儿服务.
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