Distributed Data Management for Cell Biology

细胞生物学的分布式数据管理

• 批准号: ST/F003617/1
• 负责人: George Beckett
• 金额: $ 12.43万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2008
• 资助国家: 英国
• 起止时间: 2008 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ST%2FF003617%2F1
• 关键词: Distributed; Data; Management; Cell; Biology

Research in Cell Biology is being revolutionised by a paradigm shift towards data-driven computing. Vast quantities (Terabytes) of data are being generated by automated measurement processes using state of the art microscopes. Unfortunately, the distributed nature of research collaborations, within the community, introduces significant problems when attempting to manage this image data. For example, it is not uncommon for microscope images to be acquired at one institution and then analysed at another. This necessitates access to the data at both of the institutions involved, and a typical approach to overcome this geographic separation is to copy the data onto external disk drives (or tapes) and ship it to the analysing institution. However, this approach is neither reliable or scalable. Utilising expertise and technology developed for the Computational Particle Physics community, the project team will deliver a distributed data management system, enabling the sharing of biological images between researchers in a simple, secure, and effective manner.

细胞生物学的研究正因向数据驱动计算的范式转变而发生革命性的变化。使用最先进的显微镜，自动测量过程产生了大量（tb级）的数据。不幸的是，研究合作的分布式本质，在社区内，在试图管理这些图像数据时引入了重大问题。例如，在一个机构获得显微镜图像，然后在另一个机构进行分析，这并不罕见。这需要访问涉及的两个机构的数据，克服这种地理隔离的典型方法是将数据复制到外部磁盘驱动器（或磁带）上，并将其运送到分析机构。然而，这种方法既不可靠也不可扩展。利用为计算粒子物理社区开发的专业知识和技术，项目团队将提供一个分布式数据管理系统，使研究人员能够以简单、安全和有效的方式共享生物图像。