Dear Colleagues,
The 3rd issue of Volume 22 of the Journal of Data Science is a special issue featuring contributions from the Government Advances in Statistical Programming (GASP) 2023 conference. This issue was expertly guest-edited by Lisa Frehill of the US Department of Energy and Peter Meyer of the US Bureau of Labor Statistics. A special thanks to the guest editors, their dedicated review team, and all the contributing authors for their outstanding efforts!
All articles are published under the CC-BY license (
https://creativecommons.org/licenses/by/4.0/) to ensure the widest dissemination. Thanks to funding from the School of Statistics and the Center for Applied Statistics at Renmin University of China, there are no Article Processing Charges. The journal is known for its fast review process and rigorous reproducibility checks.
Established in 2003, the Journal of Data Science aims to advance and promote data science methods, computing, and applications across all scientific fields where knowledge and insights are to be extracted from data. We welcome submissions to all sections of the journal, including 1) Philosophies of Data Science; 2) Statistical Data Science; 3) Computing in Data Science; 4) Data Science in Action; 5) Data Science Review; 6) Education in Data Science; and 7) Data Science Conversation.
Best regards,
Jun Yan
Editor, Journal of Data Science
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Journal of Data Science
Volume 22, Issue 3 2024
Frehill, Lisa M., and Peter B. Meyer. "Introduction to the GASP Special Issue." Journal of Data Science 22 no. 3 (2024):353-355.
https://doi.org/10.6339/24-JDS223EDI.
Shrivastava, Rahul, and Gizem Korkmaz. "Measuring Public Open-Source Software in the Federal Government: An Analysis of Code.gov." Journal of Data Science 22 no. 3 (2024):356-375.
https://doi.org/10.6339/24-JDS1148.
Preiss, Alexander J., Arbeit, Caren A., Berghammer, Anthony, Bollenbacher, John, McCarthy, John V., Brom, Madeline G., Enger, Mike, Rios Villacorta, Nicholas, and Shaquavia Straughn. "Evaluation of Text Cluster Naming with Generative Large Language Models." Journal of Data Science 22 no. 3 (2024):376-392.
https://doi.org/10.6339/24-JDS1149.
Hadley, Emily, Marcial, Laura, Quattrone, Wes, and Georgiy Bobashev. "Traditional and GenAI Text Analysis of COVID-19 Pandemic Trends in Hospital Community Benefits IRS Documentation." Journal of Data Science 22 no. 3 (2024):393-408.
https://doi.org/10.6339/24-JDS1144.
Clayton Knappenberger. "Bringing Search to the Economic Census – The NAPCS Classification Tool." Journal of Data Science 22 no. 3 (2024):409-422.
https://doi.org/10.6339/24-JDS1147.
Emmet, Robert L., Hunt, Kevin, Jennings, Rachael, Daniel, Kara, and Denise A. Abreu. "Evaluating a Method for Georeferencing Agricultural Fields." Journal of Data Science 22 no. 3 (2024):423-435.
https://doi.org/10.6339/24-JDS1146.
Sartore, Luca, Chen, Lu, van Wart, Justin, Dau, Andrew, and Valbona Bejleri. "Identifying Anomalous Data Entries in Repeated Surveys." Journal of Data Science 22 no. 3 (2024):436-455.
https://doi.org/10.6339/24-JDS1136.
Chen, Sixia, and Chao Xu. "Predictive Mean Matching Imputation Procedure Based on Machine Learning Models for Complex Survey Data." Journal of Data Science 22 no. 3 (2024):456-468.
https://doi.org/10.6339/24-JDS1135.