2021
DOI: 10.1177/01447394211004990
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Data science literacy: Toward a philosophy of accessible and adaptable data science skill development in public administration programs

Abstract: 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 … Show more

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Cited by 16 publications
(16 citation statements)
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“…Since Gill and Meier's (2000) call for action, the field has responded with force. The statistical training contained in graduate programs in many countries has progressed, and with it, so has our methodological rigor (Overton & Kleinschmit, 2021; Smith & Martinez‐Moyano, 2012). Whereas much of our quantitative research used to be based on descriptive statistics or ordinary least squares (OLS) multivariate regression (Pitts & Fernandez, 2009), Groeneveld et al (2015) demonstrated a change in the research methodologies of our publications, with a significant shift from qualitative to quantitative work occurring around 2007.…”
Section: Advancements In Public Administrationmentioning
confidence: 99%
“…Since Gill and Meier's (2000) call for action, the field has responded with force. The statistical training contained in graduate programs in many countries has progressed, and with it, so has our methodological rigor (Overton & Kleinschmit, 2021; Smith & Martinez‐Moyano, 2012). Whereas much of our quantitative research used to be based on descriptive statistics or ordinary least squares (OLS) multivariate regression (Pitts & Fernandez, 2009), Groeneveld et al (2015) demonstrated a change in the research methodologies of our publications, with a significant shift from qualitative to quantitative work occurring around 2007.…”
Section: Advancements In Public Administrationmentioning
confidence: 99%
“…Guy's (2020) work makes the case for public administration education to focus interpersonal relationships as much as rationality in decision‐making. In addition, Overton and Kleinschmit (2021) recently argued for theory on data science to be connected to practice by using public administration students practice data literacy.…”
Section: Themes In Public Administration Educationmentioning
confidence: 99%
“…The remaining five courses will be used for the data science track, including three nucleus courses, i.e., data science (Overton and Kleinschmit, 2022), E-government (Sarantis et al, 2019), and information security. The remaining two courses are electives to be chosen by our students.…”
Section: Discussionmentioning
confidence: 99%