胃肠道学奖学金和OMICS和统计学博士后培训-第二部分:如何实现?
Madeline Alizadeh1, Natalia Sampaio Moura2, Alyssa Schledwitz2
1The Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 20201, USA.
Digestive diseases and sciences
|November 3, 2023
概括
胃肠道研究中的大数据正在迅速增长. 大数据分析和解释方面的培训至关重要,但滞后,需要为研究人员提供新的教育方法.
科学领域:
- 生物医学信息学 生物医学信息学
- 胃肠病学 胃肠病学
- 数据科学数据科学数据科学
背景情况:
- 大规模的数据生成正在彻底改变胃肠道 (GI) 研究.
- 了解复杂的胃肠道相互作用需要先进的数据分析技能.
- 目前的大数据集成,分析和解释方面的培训落后于数据采集.
研究的目的:
- 为了弥补大数据培训研究人员的差距.
- 突出大数据分析中现有的学习机会.
- 为医学和基础科学研究人员提出创新的培训方法.
主要方法:
- 审查和分类现有的大数据培训资源.
- 开发一个框架,以获得大数据技能.
- 关于本科和研究生医学教育的建议.
主要成果:
- 现有的大数据学习机会未得到充分利用.
- 需要针对特定需求和时间框架量身定制的结构化培训计划.
- 提出了创新的方法,以提高GI研究社区的大数据素养.
结论:
- 加强对大数据的培训对于推进GI研究至关重要.
- 需要积极开发和促进教育机会.
- 弥合数据科学技能差距将加速胃肠病学领域的发现.
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