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ENABLING EFFECTIVE COLLABORATION THROUGH A WEB-ENABLED DATA INFRASTRUCTURE

机译:通过启用Web的数据基础结构实现有效的协作

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The CCLRC is one of Europe's largest multidisciplinary research organisations supporting scientists and engineers world-wide. It operates world-class large-scale research facilities, provides strategic advice to the government on their development and manages international research projects in support of a broad cross-section of the UK research community. CCLRC is involved in the development of grid and data management tools for a number of e-Science projects in the UK including the Engineering and Physical Sciences Research Council (EPSRC) funded e-Science project 'The Simulation of Complex Materials' or e-materials [1]. The focus of the multi-institution project was to aid the development of a computational technology for the prediction of the polymorphs of an organic molecule prior to its synthesis. The project's use of grid computation and workflows has enabled the running of very large scale computations and simulations, with the subsequent production of large amounts of scientific data. In order for the simulation data to be used and shared effectively the project required an effective data infrastructure to ease data discovery for both data originators and their collaborators. As such the data needed to be self-reflexive and organised into an intuitive and flexible hierarchy; and access to the data to be possible from a variety of perspectives. The annotation of the data with metadata, the usage of relational databases and the deployment of web-enabled applications has enabled the browsing and discovery of data and metadata and underpinned the collaborative nature of the project.
机译:CCLRC是欧洲最大的跨学科研究组织之一,为全世界的科学家和工程师提供支持。它运营着世界一流的大型研究机构,向政府提供有关其发展的战略建议,并管理国际研究项目,以支持英国研究界的广泛领域。 CCLRC参与了英国许多电子科学项目的网格和数据管理工具的开发,包括工程和物理科学研究委员会(EPSRC)资助的电子科学项目“复杂材料的模拟”或电子材料[1]。多机构项目的重点是协助开发一种计算技术,以预测有机分子在合成之前的多晶型物。该项目对网格计算和工作流的使用,使得能够进行超大规模的计算和模拟,并随后产生了大量的科学数据。为了有效地使用和共享模拟数据,该项目需要有效的数据基础结构来简化数据创建者及其合作者的数据发现。因此,数据需要具有自我反省性并将其组织成直观而灵活的层次结构;并且可以从多种角度访问数据。使用元数据对数据进行注释,关系数据库的使用以及启用Web的应用程序的部署,使得能够浏览和发现数据和元数据,并增强了项目的协作性质。

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