Public administration is struggling to contend with a substantial shift in practice fueled by the accelerating adoption of information technology. New skills, competencies and pedagogies are required by the field to help overcome the data-skills gap. As a means to address these deficiencies, we introduce the Data Science Literacy Framework, a heuristic for incorporating data science principles into public administration programs. The framework suggests that data literacy is the dominant principle underlying a shift in professional practice, accentuated by an understanding of computational science, statistical methodology, and data-adjacent domain knowledge. A combination of new and existing skills meshed into public administration curriculums help implement these principles and advance public administration education.

在信息技术加速采用的推动下，公共行政部门正努力应对实践的重大转变。该领域需要新的技能，能力和教学方法，以帮助克服数据技能的差距。作为解决这些缺陷的一种方法，我们引入了数据科学素养框架，这是一种将数据科学原理纳入公共管理计划的启发式方法。该框架表明，数据素养是专业实践转变的主要原理，其理解是对计算科学，统计方法和数据相邻领域知识的理解。公共行政课程中结合了新技能和现有技能，有助于实施这些原则并推进公共行政教育。