Draft: Dritter use case CASUS
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- Lisa Berenike Kuhli (Desy) authored
@@ -15,29 +15,29 @@ tags:
As an institute of the Helmholtz-Zentrum Dresden-Rossendorf ([HZDR](https://www.hzdr.de/)), the Center for Advanced Systems Understanding ([CASUS](https://www.casus.science/)) is part of the Helmholtz Association. Therefor, the general use of HIFIS infrastructure and services is a good choice, as Michael Bussmann laid down in an [overview](hifis.net/usecases/). Here, he describes a specific use case for HIFIS services from the research field [Earth and Environment](https://www.helmholtz.de/en/research/research-fields/earth-and-environment/).
As an institute of the Helmholtz-Zentrum Dresden-Rossendorf ([HZDR](https://www.hzdr.de/)), the Center for Advanced Systems Understanding ([CASUS](https://www.casus.science/)) is part of the Helmholtz Association. Therefor, the general use of HIFIS infrastructure and services is a good choice, as Michael Bussmann laid down in an [overview](hifis.net/use-case/2022/08/04/use-case-casus.html). Here, he describes a specific use case for HIFIS services from the research field [Earth and Environment](https://www.helmholtz.de/en/research/research-fields/earth-and-environment/).
[OpenStack (HDF Cloud)](https://helmholtz.cloud/services?serviceDetails=openstack%20(hdf%20cloud)-FZJ) and [Rancher managed Kubernetes](https://helmholtz.cloud/services?serviceDetails=rancher-desy), a [JupyterHub](https://helmholtz.cloud/services?software=JupyterHub) for data analytics workflows and the [Helmholtz AAI](https://aai.helmholtz.de) for secure access and authorization.
While the provision of such data is a big step by its own, leveraging synergies with other research disciplines in building trustworthy statistical and AI models for such rich and large data sets is an important step to understand the complexity and dynamics of the systems from which this data is collected.
While this data analytics infrastructure is currently being built, a trustworthy, non-commercial, federated cloud infrastructure run by an internationally known and trusted entity is favoured by researchers, guideline organizations, clinics and pharma companies alike as the backbone for such an infrastructure.
While this data analytics infrastructure is currently being built, a trustworthy, non-commercial, federated cloud infrastructure run by an internationally known and trusted entity is favoured by researchers, guideline organizations and other stakeholders alike as the backbone for such an infrastructure.
Secure and trusted data management and provision, a long-term commitment and the ability to scale such an architecture combined with decades of experience in providing research infrastructures to stakeholders from science to industry are key elements to the sustainability of such data platforms and the soft- and hardware infrastructure needed for them.