Mass adoption of advanced information technologies is fueling a need for public servants with the skills to manage data-driven public agencies. Public employees typically acquire data skills through graduate research methods courses, which focus primarily on research design and statistical analysis. What data skills are currently taught, and what content should Master of Public Administration (MPA) programs include in their research method courses? We categorized research method course content in 52 syllabi from 31 MPA programs to understand how data skills are taught in public administration. We find that most graduate programs rely on research methods more suited for academic and policy research while lacking the data skills needed to modernize public agencies. Informed by these results, this work presents the Data Science Literacy Framework as a guide for assessing and planning curriculum within MPA programs.

中文翻译：

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通过数据科学素养转变研究方法教育

先进信息技术的大规模采用正在推动对具有管理数据驱动公共机构技能的公务员的需求。公共雇员通常通过研究生研究方法课程获得数据技能，这些课程主要侧重于研究设计和统计分析。目前教授哪些数据技能，公共管理硕士 (MPA) 课程应在其研究方法课程中包含哪些内容？我们将研究方法课程内容分类为来自 31 个 MPA 课程的 52 个教学大纲，以了解公共管理中如何教授数据技能。我们发现大多数研究生课程依赖于更适合学术和政策研究的研究方法，但缺乏使公共机构现代化所需的数据技能。根据这些结果，这项工作提出了数据科学素养框架作为 MPA 项目中评估和规划课程的指南。