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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的重要作用是注册和归档研究数据的重要作用。 Radboud University(荷兰)的RDS-Project与数据档案丹Lans合作

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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:最优研究数据管理和归档是现代科学进展的关键条件,以及从研究的角度来看,以及研究政策和管理的重要性。更具体地说,它是一个符合开放科学的符号,同时对研究质量和完整性的监测和评估是必不可少的。各种方面在此处发挥作用:在研究生命周期期间实际处理数据的最佳基础架构和工具,适当的元数据来描述数据集,最后但常不是最不重要的 - 用于专业的适用组织框架,并提供最佳的数据集并提供最佳对研究人员的支持和服务。本文介绍了Radboud University(荷兰)的研究数据服务(RDS)项目与荷兰国家研究数据档案之一合作:DANS(数据归档和联网服务)。在该项目中,通过大学的CRIC(当前研究信息系统)来归档研究数据集的档案,包括元数据的注册以及数据文件的实际上传到DANS存档。有人认为,最佳解决方案不仅是技术性问题,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,关注正在定义和实施的前常写 - BackOffice模型(FoBo)的解释,该模型是项目的一部分,并形成解决方案的组织骨干。本文首先争辩于研究数据存档中的acris导向的方法持有实质性增加的价值,并以概述概述了解的经验教训和偷看了RDS-Project的未来。

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