Building a FAIR image data ecosystem for microscopy communities.
Building a FAIR image data ecosystem for microscopy communities.
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DOI：
10.1007/s00418-023-02203-7
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发表时间：
2023-09
影响因子：
2.3
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中科院分区：
文献类型：
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生物成像现已进入大数据时代，复杂显微镜技术的发展速度比以往任何时候都快，导致数据集日益复杂。这些数据集中数据大小和信息复杂性的巨大增加给通用和协调的数据处理、分析和管理实践带来了一些困难，这些困难目前阻碍了图像数据的全部潜力的实现。在这里，我们概述了显微镜界目前正在开发的广泛的努力和解决方案，以应对实现公平生物成像数据的道路上的这些挑战。我们还强调了显微镜生态系统中的不同参与者如何共同努力，创造开发新方法的协同效应，以及欧洲生物成像等研究基础设施如何促进这些相互作用以塑造该领域。
Bioimaging has now entered the era of big data with faster-than-ever development of complex microscopy technologies leading to increasingly complex datasets. This enormous increase in data size and informational complexity within those datasets has brought with it several difficulties in terms of common and harmonized data handling, analysis, and management practices, which are currently hampering the full potential of image data being realized. Here, we outline a wide range of efforts and solutions currently being developed by the microscopy community to address these challenges on the path towards FAIR bioimaging data. We also highlight how different actors in the microscopy ecosystem are working together, creating synergies that develop new approaches, and how research infrastructures, such as Euro-BioImaging, are fostering these interactions to shape the field.