This paper is in the following e-collection/theme issue:

Viewpoints (45) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Viewpoints and Perspectives (619) Big Data (307) Data Science (357)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44310, first published .
Normal Workflow and Key Strategies for Data Cleaning Toward Real-World Data: Viewpoint

Normal Workflow and Key Strategies for Data Cleaning Toward Real-World Data: Viewpoint

Normal Workflow and Key Strategies for Data Cleaning Toward Real-World Data: Viewpoint

Authors of this article:

Manping Guo1, 2, 3 Author Orcid Image ;   Yiming Wang3 Author Orcid Image ;   Qiaoning Yang3 Author Orcid Image ;   Rui Li4 Author Orcid Image ;   Yang Zhao3 Author Orcid Image ;   Chenfei Li3 Author Orcid Image ;   Mingbo Zhu5 Author Orcid Image ;   Yao Cui5 Author Orcid Image ;   Xin Jiang5 Author Orcid Image ;   Song Sheng3 Author Orcid Image ;   Qingna Li3 Author Orcid Image ;   Rui Gao3 Author Orcid Image
Article Authors Cited by (17) Tweetations (2) Metrics

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  11. Liu X, Heng Y, Zhou L, Gao H, Ji Y, Zhang W. Optimizing methane catalytic hydrogen production via a hybrid Boruta-XGB and stacking ensemble machine learning framework. International Journal of Hydrogen Energy 2025;181:151812 View
  12. Ng J, Liu H, Masood M, Syed N, Stephen D, Ayala A, Sabé M, Solmi M, Waltman L, Haustein S, Moher D. Guidance for the reporting of bibliometric analyses: A scoping review. Quantitative Science Studies 2025;6:988 View
  13. Hoshi T, Ishigaki E, Kaneko S. An R Package for Acquiring and Processing Notifiable Infectious Diseases Dataset from the Japan Institute for Health Security. Journal of Open Source Software 2025;10(115):8577 View
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