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The Important Role of CRIS's for Registering and Archiving Research Data. The RDS-project at Radboud University (the Netherlands) in Cooperation with Data-archive DANS

机译:CRIS在注册和存档研究数据中的重要作用。与数据归档DANS合作的Radboud大学(荷兰)的RDS项目

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摘要

Optimal research data management and archiving is a key condition for progress in modern science and of vital importance from both the point of view of research as such as well as research policy and management. More specifically, it is a conditio sine qua non for the realization of Open Science and at the same time it is indispensable for the monitoring and assessment of the quality and integrity of research. Various aspects play a role here: optimal infrastructures and tools for the actual handling of data during the research lifecycle, appropriate metadata to describe the datasets, and – last but not least – an adequate organizational framework to curate and archive the datasets professionally and provide optimal support and services to the researchers. The paper presents the Research Data Services (RDS) project of Radboud University (the Netherlands) in cooperation with one of the Dutch national research data archives: DANS (Data Archiving and Networked Services). In this project, a model is worked out for the archiving of research datasets via the CRIS (Current Research Information System) of the university, including both the registration of the metadata as well as the actual upload of the data files to the DANS archive. It is argued that an optimal solution is not only a technical matter, but also requires the definition and organization of appropriate support, management structures and workflows, involving both local and national partners. In this respect, attention is paid to the explanation of the frontoffice-backoffice model(FoBo) that is being defined and implemented as part of the project and which forms the organizational backbone of the solution worked out. The paper starts by arguing that aCRIS-oriented approach in research data archiving holds substantial added value, and it ends with an overview of lessons learned and a peek into the future of the RDS-project.
机译:最佳的研究数据管理和归档是现代科学进步的关键条件,从研究等方面以及研究政策和管理的角度而言,至关重要。更具体地说,它是实现开放式科学的必要条件,同时对于监视和评估研究的质量和完整性必不可少。各个方面都在这里发挥作用:在研究生命周期中用于实际数据处理的最佳基础结构和工具,用于描述数据集的适当元数据,以及(最后但并非最不重要的)适当的组织框架,用于专业地管理和存档数据集并提供最佳的对研究人员的支持和服务。本文与荷兰国家研究数据档案馆之一DANS(数据归档和网络服务)合作,介绍了Radboud大学(荷兰)的研究数据服务(RDS)项目。在该项目中,设计了一个模型,用于通过大学的CRIS(当前研究信息系统)对研究数据集进行归档,包括元数据的注册以及将数据文件实际上传到DANS档案库。有人认为,最佳解决方案不仅是技术问题,而且还需要定义和组织适当的支持,管理结构和工作流程,涉及本地和国家合作伙伴。在这方面,要注意对作为项目一部分定义和实施的前台-后台模型(FoBo)的解释,该模型构成了解决方案的组织骨干。本文首先争论说,面向CRIS的研究数据归档方法具有实质性的附加值,最后总结了经验教训,并展望了RDS项目的未来。

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