• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文OA文献 >Data Integration and Analysis System (DIAS) as a Platform for Data and Model Integration: Cases in the Field of Water Resources Management and Disaster Risk Reduction
【2h】

Data Integration and Analysis System (DIAS) as a Platform for Data and Model Integration: Cases in the Field of Water Resources Management and Disaster Risk Reduction

机译：数据集成和分析系统（DIAS）作为数据和模型集成平台：水资源管理领域的案例减少

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The development of data and model integration platforms has furthered scientific inquiry and helped to solve pressing social and environmental problems. While several e-infrastructure platforms have been developed, the concept of data and model integration remains obscure, and these platforms have produced few firm results. This article investigates data and model integration on the Data Integration and Analysis System (DIAS) platform, using three case projects from water-related fields. We provide concrete examples of data and model integration by analyzing the data transfer and analysis process, and demonstrate what platform functions are needed to promote the advantages of data and model integration. In addition, we introduce the Digital Object Identifier (DOI), a valuable tool for promoting data and model integration and open science. Our investigation reveals that DIAS advances data and model integration in five main ways: it is a "sophisticated and robust integration platform"; has "rich APIs, including a metadata management system, for high-quality data archive and utilization"; functions as a "core hydrological model"; and promotes a "collaborative R&D community" and "open science and data repositories". This article will appeal especially to researchers interested in new methods of analysis, and information technology experts responsible for developing e-infrastructure systems to support environmental and scientific research.
机译：数据和模型集成平台的发展进一步进一步调查，并有助于解决压力社会和环境问题。虽然已经开发了几个电子基础设施平台，但数据和模型集成的概念仍然模糊，而这些平台已经产生了一些公司的结果。本文调查使用来自水有关的三种案例项目的数据集成和分析系统（DIAS）平台的数据和模型集成。通过分析数据传输和分析过程，我们提供数据和模型集成的具体示例，并演示需要哪些平台功能来促进数据和模型集成的优势。此外，我们介绍了数字对象标识符（DOI），这是一个有价值的工具，用于促进数据和模型集成和开放科学。我们的调查揭示了Dia以五种主要方式提出数据和模型集成：它是一个“精致且坚固的集成平台”;拥有“丰富的API，包括元数据管理系统，用于高质量的数据归档和利用率”;用作“核心水文模型”;并促进“协作研发社区”和“开放式科学和数据存储库”。本文将申诉申请对对新的分析方法感兴趣的研究人员，以及负责开发电子基础设施系统以支持环境和科学研究的信息技术专家。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号