面向问题解决环境的开放数据管理解决方案:分布式创作和版本控制在可扩展计算化学环境中的应用

K. Schuchardt, J. Myers, E. Stephan
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引用次数: 10

摘要

下一代问题解决环境(pse)有望在现有环境基础上取得重大进展。它们将跨越科学学科并整合协作能力。它们将承载特征检测和其他代理,允许数据挖掘和谱系跟踪,并提供来自各种设备的访问。为了实现这些和其他PSE目标,需要对PSE体系结构进行基本的更改。本文特别关注与数据管理相关的问题,并推荐一种基于开放的、元数据驱动的、具有松散定义的动态模式的存储库的方法。讨论了这种方法的好处,并描述了基于分布式创作和版本控制(DAV)标准对可扩展计算化学环境(Extensible Computational Chemistry Environment, Ecce)数据存储体系结构的重新设计,以使用这种存储库。介绍了DAV对科学数据的适用性,Ecce模式到DAV的映射,以及有希望的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Open data management solutions for problem solving environments: application of distributed authoring and versioning to the Extensible Computational Chemistry Environment
Next-generation problem solving environments (PSEs) promise significant advances over those now available. They will span scientific disciplines and incorporate collaboration capabilities. They will host feature-detection and other agents, allow data mining and pedigree tracking, and provide access from a wide range of devices. Fundamental changes in PSE architecture are required to realize these and other PSE goals. This paper focuses specifically on issues related to data management and recommends an approach based on open, metadata-driven repositories with loosely defined, dynamic schemas. Benefits of this approach are discussed and the redesign of the Extensible Computational Chemistry Environment's (Ecce) data storage architecture to use such a repository is described, based on the distributed authoring and versioning (DAV) standard. The suitability of DAV for scientific data, the mapping of the Ecce schema to DAV, and promising initial results are presented.
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