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Updated: Jun 26, 2025

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一本关于核心设施中生物成像研究数据管理的实用指南
Christian Schmidt1, Tom Boissonnet2, Julia Dohle3
1Enabling Technology Department, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Journal of microscopy
|May 16, 2024
概括
使生物成像数据可查找,可访问,可互操作和可重复使用 (FAIR) 对于科学进步至关重要. 图像核心设施是实施FAIR数据原则在生命和生物医学科学研究的关键.
科学领域:
- 生命科学和生物医学科学
- 显微镜和图像分析
背景情况:
- 生物图像数据对于跨科学学科的数据驱动发现至关重要.
- 实施FAIR数据原则 (可查找,可访问,可互操作,可重复使用) 是必不可少的,但对研究人员和基础设施来说具有挑战性.
- 图像核心设施处于战略位置,以领导FAIR数据管理转型.
研究的目的:
- 为采用FAIR原则在生物成像数据管理中提供以成像核心设施为中心的视角.
- 概述德国目前的战略和经验,以促进FAIR生物图像数据的采用.
- 突出FAIR生物图像数据管理和未来方向的可用工具和服务.
主要方法:
- 评估德国成像核心设施的战略和经验.
- 专注于德国生物成像 - 显微镜和图像分析学会 (GerBI-GMB) 的作用.
- 分析跨机构工作组和资助的项目.
主要成果:
- 图像核心设施对于推进FAIR生物图像数据管理至关重要.
- 德国已经启动了跨机构努力,以加强FAIR数据能力.
- 对于FAIR实施的工具和服务正在变得可用,并确定了未来的方向.
结论:
- 图像核心设施在推动生物成像中采用FAIR数据原则方面是至关重要的.
- 协作,跨机构的倡议对于成功实施FAIR数据至关重要.
- 对于FAIR生物图像数据的未来,需要持续开发和战略部署工具和服务.
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