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首页> 外文会议>IASTED International Conference on Knowledge Sharing and Collaborative Engineering >ENABLING EFFECTIVE COLLABORATION THROUGH A WEB-ENABLED DATA INFRASTRUCTURE
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ENABLING EFFECTIVE COLLABORATION THROUGH A WEB-ENABLED DATA INFRASTRUCTURE

机译：通过支持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是欧洲最大的多学科研究组织之一，支持全世界科学家和工程师。它运营世界级的大规模研究设施，为政府提供战略建议，并管理国际研究项目，以支持英国研究界的广泛横截面。 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帮助开发在合成之前预测有机分子的多晶型物的计算技术。该项目的网格计算和工作流程的使用使得具有非常大规模的计算和模拟的运行，随后生产大量的科学数据。为了有效地使用和共享模拟数据，项目需要有效的数据基础架构，以便于数据发起者及其协作者缓解数据发现。由于这些数据需要自我反思并组织成直观和灵活的层次结构;并访问各种角度的数据。具有元数据的数据，使用关系数据库的使用和启用Web的应用程序的部署已经启用了数据和元数据的浏览和发现，并提出了项目的协作性质。

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