公平课程计划手册:为公平培训提供开放的教育资源
Martijn G Kersloot1,2, Mijke Jetten3, Stephan Nylinder4
1Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Meibergdreef 9, Amsterdam, The Netherlands.
Studies in health technology and informatics
|May 17, 2025
概括
本手册为在生命科学中实施FAIR数据原则提供了实际指导. 它提供了一个框架和课程计划,以培训研究人员如何使数据可查找,可访问,可互操作和可重复使用.
科学领域:
- 生命科学 生命科学
- 数据科学数据科学数据科学
- 研究 培训 培训 培训
背景情况:
- 公平数据原则对于研究中的有效数据管理至关重要.
- 对于实施这些原则的实际,可操作的指导有着公认的需求.
- 现有的资源往往缺乏生命科学组织的结构化培训框架.
研究的目的:
- 开发一个实用的框架和全面的课程计划,以培训研究人员使用FAIR数据原则.
- 创建一个社区驱动的,不断发展的资源,以支持采用公平的做法.
- 授权生命科学研究组织建立强大的FAIR数据培训计划.
主要方法:
- 这是一项涉及50多名贡献者的协作工作.
- 通过一系列黑客马拉松和协作工作会议进行开发.
- 创建结构化的课程计划,涵盖FAIR数据的各个方面.
主要成果:
- 作为合作努力的结果,FAIR课程计划手册被开发出来.
- 课程计划包括FAIR通用药物,可查找,可访问,可互操作,可重复使用的数据,FAIR软件和数据库.
- 该手册在GitHub上托管,这意味着它是一个由社区驱动和不断发展的资源.
结论:
- 公平的课程计划手册为实施公平的数据原则提供了基本的实际指导.
- 该资源使培训师和研究人员能够将FAIR实践纳入他们的工作流程.
- 这个社区驱动的倡议支持在生命科学研究中更广泛地采用FAIR数据标准.
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