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Building Research Data Management Infrastructure using Open Source Software

机译:使用开源软件构建研究数据管理基础架构

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摘要

The implementation of a research data management infrastructure for a large interdisciplinary research project is presented here, based on well-established Free and Open Source Software for Geospatial(FOSS4G) products such as MapServer, MapProxy, GeoExt and pyCSW, as well as the (not primarily geospatial) open source technologies Typo3 and CKAN. The presented implementation depends primarily on the demands for research data management infrastructure by the funding research agency. It also aligns to theory and practice in Research Data Management (RDM) and e-Science. After the research project and related work in the field of RDM are introduced, a detailed description of the architecture and its implementation is given. The article discusses why Open Source and open standards are chosen to implement the infrastructure and provides some suggestions and examples on how to make it easier and more attractive for researchers to upload and publish their primary research data.
机译:本文基于一个完善的针对地理空间(FOSS4G)产品的免费和开源软件(例如MapServer,MapProxy,GeoExt和pyCSW)以及(而非主要是地理空间)开源技术Typo3和CKAN。提出的实施方案主要取决于资助研究机构对研究数据管理基础架构的需求。它还符合研究数据管理(RDM)和电子科学的理论和实践。介绍了RDM领域的研究项目和相关工作后,对该体系结构及其实现进行了详细说明。本文讨论了为什么选择开放源代码和开放标准来实施基础架构,并提供了一些建议和示例,说明了如何使研究人员更轻松,更有吸引力地上传和发布其主要研究数据。

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