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An Approach to Support Data Integration in a Scientific Software Ecosystem Platform

机译:一种支持科学软件生态系统平台数据集成的方法

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[Motivation] The science has evolved giving space to the open and data-intensive science. In this context, information sharing, and data integration are essential issues. [Problem] Data integration in the e-Science domain is a complex task, as researchers use different scientific software tools, and perform their experiments in different sites and contexts, thus using specific data models. Without supporting the execution of different geographically distributed tools, scientists may not collaborate with the experiment. [Objective] The goal of this article is to enhance collaboration between researchers throughout the process of scientific experimentation in a scientific software ecosystem platform. [Method] To achieve this goal, the article addresses an approach to support the integration of a scientific software ecosystem with external scientific platforms. [Results] An evaluation of the proposed solution showed that integration solutions implemented can enhance collaboration among researchers.
机译:[动机]科学已经发展到了开放和数据密集型科学的空间。在此上下文中,信息共享和数据集成是重要问题。 [问题]电子科学域中的数据集成是一个复杂的任务,因为研究人员使用不同的科学软件工具,并在不同的站点和上下文中执行他们的实验,从而使用特定的数据模型。在不支持执行不同地理上分布式工具的情况下,科学家可能无法与实验合作。 [目的]本文的目标是加强研究人员在科学软件生态系统平台的科学实验过程中的合作。 [方法]实现这一目标,文章解决了一种支持与外部科学平台的科学软件生态系统集成的方法。 [结果]对拟议解决方案的评估表明,实施的集成解决方案可以增强研究人员之间的合作。

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