astrowise:追踪和使用谱系进行科学数据处理

J. Mwebaze, D. Boxhoorn, E. Valentijn
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引用次数: 16

摘要

大多数支持数据来源的工作流系统主要关注于跟踪数据的沿袭。通过数据沿袭的数据来源提供了数据的派生历史,包括有助于创建数据产品的有关服务和输入数据的信息。研究表明,通过全反向链的方式进行谱系追踪,不仅可以使用户共享、发现和重用数据,还可以通过对数字化科学数据的存储、检索和(再)处理为科学数据处理提供支持。本文提出了一种用于处理、分析和传播大视场成像天文数据的分布式系统astrowise。我们展示了Astro-WISE如何追踪数据的谱系,以及它如何促进数据处理、检索、存储和归档。特别是,我们展示了它如何解决与科学环境中典型的变化数据项相关的问题,例如校准中的物理变化,我们对这些变化的见解以及派生结果的改进方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Astro-WISE: Tracing and Using Lineage for Scientific Data Processing
Most workflow systems that support data provenance primarily focus on tracing lineage of data. Data provenance by data lineage provides the derivation history of data including information about services and input data that contributed to the creation of a data product. We show that tracing lineage by means of full backward chaining not only enables users to share, discover and reuse the data, but also supports scientific data processing through storage, retrieval and (re)processing of digitized scientific data. In this paper, we present Astro-WISE, a distributed system for processing, analyzing and disseminating wide field imaging astronomical data. We show how Astro-WISE traces lineage of data and how it facilitates data processing, retrieval, storage, archiving. Particularly we show how it solves issues related to the changing data items typical for the scientific environment, such as physical changes in calibrations, our insight in these changes and improved methods for deriving results.
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