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在通过向数据驱动计算的范式转变而彻底改变。使用TAR SICROSCOPES的自动测量过程生成了大量数据（trabytes）。不幸的是，社区内研究合作的分布性质在尝试管理此图像数据时会引入重大问题。例如，在一个机构中获取显微镜图像，然后在另一个机构进行分析并不少见。这需要在所涉及的两个机构中访问数据，而克服该地理分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中。但是，这种方法既不可靠或可扩展。利用为计算粒子物理社区开发的专业知识和技术，项目团队将提供分布式数据管理系统，从而以简单，安全和有效的方式在研究人员之间共享生物图像。