The portal of OpenGMS: Bridging the contributors and users of geographic simulation resources

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-07-11 DOI:10.1016/j.envsoft.2024.106142
Kai Xu , Min Chen , Songshan Yue , Fengyuan Zhang , Jin Wang , Yongning Wen , Guonian Lü
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Abstract

With the development of geographic simulation methods in recent decades, a great deal of resources have accumulated to support their implementation. These resources can be divided into model resources for analyzing or predicting geographic phenomena or processes, data resources for representing the characteristics of real or simulated environment, and computing resources for supporting simulation tasks. These resources are characterized by geospatial distribution and are difficult to discover and reuse. OpenGMS has carried out a series of fundamental research to sharing and collaborating distributed resources on the web. On this basis, this paper presents the concept of the OpenGMS open portal. The portal adopts FAIR principles and supports resources sharing and reuse to facilitate collaboration and exchange between resource contributors and users. This paper takes applications of the portal in resource sharing and reuse case and online training courses as examples to illustrate how the portal can bridge contributors and users of resources.

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OpenGMS 门户网站:架起地理模拟资源贡献者和使用者之间的桥梁
近几十年来,随着地理模拟方法的发展,为支持其实施积累了大量资源。这些资源可分为用于分析或预测地理现象或过程的模型资源、用于表示真实或模拟环境特征的数据资源以及用于支持模拟任务的计算资源。这些资源具有地理空间分布的特点,很难被发现和重用。OpenGMS 对网络上的分布式资源共享与协作开展了一系列基础研究。在此基础上,本文提出了 OpenGMS 开放门户的概念。该门户网站采用 FAIR 原则,支持资源共享和重用,以促进资源贡献者和用户之间的合作与交流。本文以门户网站在资源共享与重用案例和在线培训课程中的应用为例,说明门户网站如何为资源贡献者和使用者搭建桥梁。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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