Scientific Data Management With Navigational Metadata
Scientific Data Management With Navigational Metadata
复制标题
使用导航元数据进行科学数据管理
DOI：
10.1016/j.fusengdes.2018.01.063
复制
发表时间：
2018
影响因子：
1.7
通讯作者：
Stillerman, J.
中科院分区：
文献类型：
--
作者：
Stillerman, J.
现代科学产生了大量复杂的、不同种类的数据。为了有效地利用这些数据，研究人员必须找到相关的数据，以及足够多的相关元数据来理解这些数据并将其置于背景中。这个问题存在于广泛的研究领域，并且已经成熟为一个通用的解决方案。现有的企业使用专门的专门工具来解决这些问题。这些工具通过将它们嵌入到它们的数据存储机制和应用程序中来显式地表示数据关系。虽然这些方法产生了有用的工具，但往往难以扩展，数据关系不一定是对称可遍历的。我们正在构建一个通用的导航元数据系统。数据之间以及注释和数据之间的关系作为一级对象存储在系统中。可以将它们视为从一小部分图形类型中提取的实例。可以编写通用程序，允许用户浏览这些图表并深入了解他们的数据。这种数据导航、对象的连续包含和过滤的过程为数据探索提供了强大的范例。
Modern science generates large complicated heterogeneous collections of data. In order to effectively exploit these data, researchers must find relevant data, and enough of its associated metadata to understand it and put it in context. This problem exists across a wide range of research domains and is ripe for a general solution.Existing ventures address these issues using ad hoc purpose-built tools. These tools explicitly represent the data relationships by embedding them in their data storage mechanisms and in their applications. While producing useful tools, these approaches tend to be difficult to extend and data relationships are not necessarily traversable symmetrically.We are building a general system for navigational metadata. The relationships between data and between annotations and data are stored as first-class objects in the system. They can be viewed as instances drawn from a small set of graph types. General-purpose programs can be written which allow users explore these graphs and gain insights into their data. This process of data navigation, successive inclusion and filtering of objects provides powerful paradigm for data exploration.