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Updated: Jul 6, 2025

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开源和可复制和廉价的基础设施,用于数据挑战和教育

Peter E DeWitt1, Margaret A Rebull2, Tellen D Bennett3,4,5

  • 1Department of Biomedical Informatics, University of Colorado School of Medicine, University of Colorado, Aurora, CO, USA. peter.dewitt@cuanschutz.edu.

Scientific data
|January 3, 2024
PubMed
概括

研究人员开发了一种廉价,轻量级的工作流程,用于数据共享和托管研究数据挑战. 这种方法利用公共存储库和开源工具,使更多科学家能够获得先进的数据分析.

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