Building Research Data Management Infrastructure using Open Source Software
Building Research Data Management Infrastructure using Open Source Software
复制标题
使用开源软件构建研究数据管理基础设施
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
G. Bareth
中科院分区：
文献类型：
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作者：
C. Willmes;D. Kürner;G. Bareth
本文介绍了一个大型跨学科研究项目的研究数据管理基础设施的实现，该基础设施基于成熟的地理空间自由开源软件（FOSS4G）产品，如MapServer、MapProxy、GeoExt和pyCSW，以及（并非主要是地理空间）开源技术Typo3和CKAN。所提出的实施方案主要取决于研究数据管理基础设施的资助研究机构的需求。它还符合研究数据管理（RDM）和电子科学的理论和实践。在介绍了课题的研究内容和相关工作的基础上，详细描述了该系统的体系结构及其实现。本文讨论了为什么选择开源和开放标准来实现基础设施，并提供了一些建议和示例，说明如何使研究人员更容易和更有吸引力地上传和发布他们的主要研究数据。
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.