对早期研究人员的培训DSW知识模型的经验
Marie-Dominique Devignes1, Malika Smaïl-Tabbone1, Hrishikesh Dhondge1
1Université de Lorraine, CNRS, Inria, LORIA, Nancy, F-5400, France.
Open research Europe
|August 30, 2023
概括
在数据管理计划 (DMP) 中培训博士生对于开放科学至关重要. 数据管理向导 (DSW) 框架为年轻科学家提供了一种简化方法来理解和创建DMP,增强数据共享实践.
科学领域:
- 生命科学 生命科学
- 科学数据管理科学数据管理
背景情况:
- 开放科学和公平数据原则需要强大的数据管理计划 (DMP).
- 博士生经常对DMP的创建和目的缺乏清晰度,这阻碍了合规性.
研究的目的:
- 培训早期研究人员 (ESR) 制定数据管理计划 (DMP).
- 调整数据管理向导 (DSW) 框架,以培训年轻科学家掌握数据管理原则.
主要方法:
- 在一个DMP制定培训项目中参与了10个ESR.
- 在DSW框架内利用了一个简化的生命科学知识模型.
- 在整个培训过程中收集了ESR的反.
主要成果:
- 为年轻科学家推出了一个新的生命科学培训DMP模板.
- 报告了调查员和ESR经验,突出了共同的DMP开发挑战.
- 证明了DS-wizard在传达DMP概念方面的实用性.
结论:
- 在DS-wizard是有效的DMP培训,促进对术语和概念的理解.
- 综合的DMP培训需要基本概念介绍和实践数据集发布指南.
- 在该项目的DMP培训计划中,DS-Wizard工具被证明是必不可少的.
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