University of Pennsylvania, Actionable Intelligence for Social Policy, United States.
University of Pennsylvania, Actionable Intelligence for Social Policy, United States.
Eval Program Plann. 2022 Dec;95:102093. doi: 10.1016/j.evalprogplan.2022.102093. Epub 2022 Apr 22.
Use of administrative data to inform decision making is now commonplace throughout the public sector, including program and policy evaluation. While reuse of these data can reduce costs, improve methodologies, and shorten timelines, challenges remain. This article informs evaluators about the growing field of Integrated Data Systems (IDS), and how to leverage cross-sector administrative data in evaluation work. This article is informed by three sources: a survey of current data integration efforts in the United States (U.S.) (N=63), informational interviews with experts, and internal knowledge cultivated through Actionable Intelligence for Social Policy's (AISP) 12+ years of work in the field. A brief discussion of the U.S. data integration context and history is provided, followed by discussion of tangible recommendations for evaluators, examples of evaluations relying on integrated data, and a list of U.S. IDS sites with publicly available processes for external data requests. Despite the challenges associated with reusing administrative data for program evaluation, IDS offer evaluators a new set of tools for leveraging data across institutional silos.
利用行政数据来辅助决策，如今在公共部门已十分普遍，这其中包括项目和政策评估。虽然这些数据的重复使用可以降低成本、改进方法并缩短时间，但仍存在挑战。本文旨在向评估人员介绍日益发展的综合数据系统（IDS），并探讨如何在评估工作中利用跨部门行政数据。本文的信息来源有三方面：一是对美国（U.S.）当前数据整合工作的调查（N=63），二是与专家的信息访谈，三是通过社会政策的可操作智能（AISP）12 年来在该领域积累的内部知识。文中简要介绍了美国的数据整合背景和历史，接着为评估人员提出了切实可行的建议，展示了一些依赖综合数据的评估案例，并列出了可公开获取外部数据请求流程的美国 IDS 网站。尽管在将行政数据重复用于项目评估方面存在挑战，但 IDS 为评估人员提供了一套新工具，可用于打破机构数据孤岛，实现数据的跨部门利用。
