Overarching Data Management Ecosystem at HZDR
Oliver Knodel, Thomas Olaf Gruber, Jeffrey Kelling, Mani Lokamani, S. Müller, David Pape, Martin Voigt, Guido Juckeland
Abstract
Open-access reader
Oliver Knodel, Thomas Olaf Gruber, Jeffrey Kelling, Mani Lokamani, S. Müller, David Pape, Martin Voigt, Guido Juckeland
Abstract
Open-access reader
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.
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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.
Key concepts: Metadata, Workflow, Data management, Variety (cybernetics), Computer science, Documentation, Metadata management, Data management plan