为显微镜社区建立一个FAIR图像数据生态系统
Isabel Kemmer1, Antje Keppler1, Beatriz Serrano-Solano1
1Euro-BioImaging ERIC Bio-Hub, European Molecular Biology Laboratory (EMBL) Heidelberg, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Histochemistry and cell biology
|June 21, 2023
概括
显微镜社区正在为生物成像中的大数据挑战开发解决方案. 努力集中在统一的数据处理和分析上,以实现FAIR生物成像数据原则.
科学领域:
- 显微镜和生物成像技术
背景情况:
- 由于显微镜技术的快速发展,生物成像产生了庞大而复杂的数据集.
- 目前的数据处理,分析和管理实践阻碍了生物成像数据的充分利用.
研究的目的:
- 概述社区努力解决FAIR生物成像数据中的挑战.
- 突出合作协同效应和研究基础设施在推动生物成像方面的作用.
主要方法:
- 在显微镜社区中审查当前的举措和解决方案.
- 分析显微镜生态系统中各种利益相关者之间的协作努力.
主要成果:
- 开发用于FAIR生物成像数据的战略和解决方案.
- 确定协同方法和研究基础设施的作用,如欧元生物成像.
结论:
- 显微镜社区正在积极努力实现FAIR生物成像数据原则.
- 合作和研究基础设施对于克服生物成像中的大数据挑战至关重要.
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