基于数据脑的神经图像元数据立方体构建技术

A Data-Brain Based Approach for Constructing the Metadata Cube of Neuroimaging Data

元数据是神经图像数据库研究的一个关键问题。然而现有神经图像元数据的信息组织形式过于单一,难以支持面向系统化脑信息学研究的分析型数据信息查询。元数据立方体的构建能很好地解决这一问题。本文提出一种基于数据脑的神经图像元数据立方体构建技术。参考现有数据立方体构建技术,定义了新型的神经图像元数据立方体,即源立方体,并设计了其基于数据脑的半自动化构建过程。文中所描述的源立方体构建实例表明,通过本文所提出的技术,面向不同主题的神经图像元数据立方体能被快速地构建以支持来自于系统化研究不同侧面的多样化分析型数据信息查询。

The metadata is a key issue of neuroimaging database researches.However,the existing metadata organizational forms of neuroimaging data are too simplex to effectively support the systematic BI research oriented analytical queries for data information.The construction of metadata cubes can solve this problem.In this paper,a Data-Brain based approach is proposed to construct the metadata cubes of neuroimaging data.Based on the existing technologies related to data cube constructions,a type of novel metadata cube of neuroimaging data,i.e.,Provenance Cube,is defined.A Data-Brain based semi-automatic approach is also designed for Provenance Cube constructions.The construction instance stated in this paper shows that different topics oriented metadata cubes of neuroimaging data can be constructed quickly to support various analytical queries of data information coming from different aspects of systematic BI research.