在职业和环境暴露研究中的数据管理和保护 - - 来自欧盟资助的EXIMIOUS项目案例研究
Manosij Ghosh1, Katrijn Broothaerts1, Steven Ronsmans1
1Centre for Environment and Health, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.
Environmental research
|August 19, 2023
概括
研究人员在EXIMIOUS项目中面临着数据管理方面的挑战. 他们制定了数据管理计划和平台,以确保FAIR数据原则和GDPR合规.
科学领域:
- 环境健康科学 环境健康科学
- 免疫学 免疫学 免疫学
- 数据科学数据科学数据科学
背景情况:
- 合作研究项目产生大量数据集,这给数据管理带来了重大挑战.
- 伦理和法律方面的考虑,包括数据隐私和安全,对于处理敏感研究数据至关重要.
- 研究人员通常需要专门的工具和知识来导航复杂的数据管理框架.
研究的目的:
- 在欧盟资助的EXIMIOUS项目中分享开发和管理数据工作流的经验.
- 为在协作研究中面临数据管理挑战的研究人员提供指导和实际解决方案.
- 促进在研究数据处理中采用FAIR数据原则和遵守GDPR.
主要方法:
- 制定一个全面的数据管理计划,以满足特定项目的需求.
- 建立数据管理平台,遵守欧盟和国家道德/法律法规.
- 实施确保数据可查找,可访问,可互操作和可重复使用 (FAIR) 的措施.
- 确保数据隐私和安全,遵守"一般数据保护条例" (GDPR).
主要成果:
- 在EXIMIOUS项目的前两年,成功应对数据管理中的伦理和法律挑战.
- 创建强大的数据管理平台和工作流程.
- 获得工具和专业知识,使研究数据符合FAIR和GDPR的要求.
- 制定"DMP CHECK"检查清单,为其他研究人员提供实际建议.
结论:
- 有效的数据管理对于大型合作研究项目的成功至关重要.
- 积极参与道德和法律框架对于合规的数据处理至关重要.
- 分享经验和工具可以使研究人员建立有效的数据管理策略.
- 该EXIMIOUS项目展示了一个成功的模型,以实现FAIR数据和GDPR合规.
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