Advancing Data Science Among the Federal Public Health Workforce : The Data Science Upskilling Program, Centers for Disease Control and Prevention
Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved..
CONTEXT: Data can guide decision-making to improve the health of communities, but potential for use can only be realized if public health professionals have data science skills. However, not enough public health professionals possess the quantitative data skills to meet growing data science needs, including at the Centers for Disease Control and Prevention (CDC).
PROGRAM: The Data Science Upskilling (DSU) program increases data science literacy among staff and fellows working and training at CDC. The DSU program was established in 2019 as a team-based, project-driven, on-the-job applied upskilling program. Learners, within interdisciplinary teams, use curated learning resources to advance their CDC projects. The program has rapidly expanded from upskilling 13 teams of 31 learners during 2019-2020 to upskilling 36 teams of 143 learners during 2022-2023.
EVALUATION: All 2022-2023 cohort respondents to the end-of-project survey reported the program increased their data science knowledge. In addition, 90% agreed DSU improved their data science skills, 93% agreed it improved their confidence making data science decisions, and 96% agreed it improved their ability to perform data science work that benefits CDC.
DISCUSSION: DSU is an innovative, inclusive, and successful approach to improving data science literacy at CDC. DSU may serve as an upskilling model for other organizations.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:30 |
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| Enthalten in: |
Journal of public health management and practice : JPHMP - 30(2024), 2 vom: 25. März, Seite E41-E46 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Bertulfo, Mary Catherine P [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Completed 29.01.2024 Date Revised 10.04.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.1097/PHH.0000000000001865 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM367615371 |
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| 245 | 1 | 0 | |a Advancing Data Science Among the Federal Public Health Workforce |b The Data Science Upskilling Program, Centers for Disease Control and Prevention |
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| 500 | |a Date Completed 29.01.2024 | ||
| 500 | |a Date Revised 10.04.2024 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved. | ||
| 520 | |a CONTEXT: Data can guide decision-making to improve the health of communities, but potential for use can only be realized if public health professionals have data science skills. However, not enough public health professionals possess the quantitative data skills to meet growing data science needs, including at the Centers for Disease Control and Prevention (CDC) | ||
| 520 | |a PROGRAM: The Data Science Upskilling (DSU) program increases data science literacy among staff and fellows working and training at CDC. The DSU program was established in 2019 as a team-based, project-driven, on-the-job applied upskilling program. Learners, within interdisciplinary teams, use curated learning resources to advance their CDC projects. The program has rapidly expanded from upskilling 13 teams of 31 learners during 2019-2020 to upskilling 36 teams of 143 learners during 2022-2023 | ||
| 520 | |a EVALUATION: All 2022-2023 cohort respondents to the end-of-project survey reported the program increased their data science knowledge. In addition, 90% agreed DSU improved their data science skills, 93% agreed it improved their confidence making data science decisions, and 96% agreed it improved their ability to perform data science work that benefits CDC | ||
| 520 | |a DISCUSSION: DSU is an innovative, inclusive, and successful approach to improving data science literacy at CDC. DSU may serve as an upskilling model for other organizations | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
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| 700 | 1 | |a Franzke, Laura H |e verfasserin |4 aut | |
| 700 | 1 | |a Papagari Sangareddy, Sridhar R |e verfasserin |4 aut | |
| 700 | 1 | |a Reza, Faisal |e verfasserin |4 aut | |
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