Karlsruhe 2024 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 17: Data, AI, Computing 2 (analysis tools)
T 17.4: Vortrag
Montag, 4. März 2024, 16:45–17:00, Geb. 30.34: LTI
HELIPORT: An overarching Data Management System at HZDR — •Stefan E. Müller1, Thomas Gruber1, Oliver Kndoel1, Jeffrey Kelling1, Mani Lokamani1, David Pape1, Martin Voigt1,2, and Guido Juckeland1 — 1Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany — 2Technische Universität Dresden, Dresden, Germany
Researchers at the Helmholtz-Zentrum Dresden-Rossendorf rely on a variety of systems and tools when it comes to administer their research data. Processes involving research data management include the project planning phase (proposal submission to the beamtime proposal management system, the creation of data management plans and data policies), the documentation during the experiment or simulation campaign (electronic laboratory notebooks, wiki pages), backup- and archival systems and the final journal and data publications (collaborative authoring tools, meta-data catalogs, software and data repositories, publication systems). In addition, modern research projects are often required to interact with a variety of software stacks and workflow management systems to allow reproducibility on the underlying IT infrastructure. The "HELmholtz ScIentific Project WORkflow PlaTform" (HELIPORT), which is currently developed by researchers at HZDR and their collaborators, tries to facilitate the management of research data and metadata by providing an overarching guidance system which combines all the information by interfacing the underlying processes and even includes a workflow engine which can be used to automate processes like data analysis or data retrieval.
Keywords: Research Data Management; HELIPORT; FAIR data