Overarching Data Management Ecosystem at HZDR From Small Experiments to Large-Scale Research Facilities

Oliver Knodel, Thomas Gruber, Jeffrey Kelling, M. Lokamani, Stefan E. Müller, David Pape, Martin Voigt, Guido Juckeland
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Abstract

When dealing with research data management, researchers at Helmholtz- Zentrum Dresden – Rossendorf (HZDR) face a variety of systems and tools. These range from the project planning phase (proposal management, data management plans and policies), over documentation during the experiment or simulation campaign, to the publication (collaborative authoring tools, metadata catalogs, publication systems, data repositories). In addition, modern research projects usually are required to interact with a variety of software stacks and workflow management systems to allow comprehensi- ble and FAIR science on the underlying IT infrastructure (HPC, data storage, network file systems, archival). This article first demonstrates the data management systems and services provided at HZDR, followed by an overview of a self-developed guidance system. It is concluded by a real-world example.
从小型实验到大型研究设施的HZDR总体数据管理生态系统
在处理研究数据管理时,亥姆霍兹-德累斯顿-罗森多夫中心(HZDR)的研究人员面临着各种各样的系统和工具。这些范围从项目规划阶段(提案管理、数据管理计划和政策)、实验或模拟活动期间的文档,到发布(协作创作工具、元数据目录、发布系统、数据存储库)。此外,现代研究项目通常需要与各种软件堆栈和工作流管理系统进行交互,以允许在底层IT基础设施(HPC,数据存储,网络文件系统,存档)上进行全面和公平的科学研究。本文首先展示了HZDR提供的数据管理系统和服务,然后概述了自行开发的制导系统。通过一个实际的例子进行了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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