11/04

November 4, 2020, 2:00 p.m. (CET)

SIGDIUS Seminar - online -

Time
November 4, 2020, 2:00 p.m. (CET)

The Special Interest Group Data Infrastructure offers a forum to interested working groups that want to set up or further develop an RDM infrastructure at working group or institute level. We invite you to a monthly SIGDIUS seminar, to which we invite internal and external experts for presentations and discussions. SIGDIUS members will have the opportunity to exchange their experiences with concrete RDM infrastructures.

We cordially invite all interested parties to our next meeting on 4 November 2020 at 2pm. Due to the current situation, this seminar will be held as an online seminar.  For participation, please send an e-mail to Juergen.Pleiss@itb.uni-stuttgart.de with the subject line "SIGDIUS seminar 4.11."

Jennifer Buchmüller* (Steinbruch Centre for Computing, KIT): "Jupyter@SCC - Interactive supercomuting for multiple scientific communities"

The access strategy "Using a command line via SSH" has been the most commonly known way for getting access to a supercomputer over the last decades, but this is slowly changing. Emerging technologies like Jupyter offer new and interesting ways for accessing the resources of a HPC system. Juypter Notebooks enable users to develop code  interactively within a web browser and offer web-based, interactive access to data stored on the parallel file systems. Jupyter has already become a de-facto standard in the AI/ML community, where it is used mainly for Python applications, and other communities are following. In this talk our strategy for integrating a JupyterHub service into our current and upcoming system designs and the experiences from the first weeks of operation will be presented, as well as potential strategies for how to provide Jupyter as a service for different scientific communities.

Ralf Diestelkämer (IPVS, SimTech) will talk about "Data management and machine learning skills - needs and opporunities in SimTech"


* Dr. Jennifer Buchmüller is the head of the department for Scientific Computing and Simulation at SCC (KIT). She has a background is in theoretical physics. In 2012 she completed her Master degree in Physics at the University of Bonn in the field of complex networks and information theory. In 2017 she obtained her PhD in Physics at KIT and has been one of the main developers of the chemistry-climate model ICON-ART. Under her lead, SCC operates the Tier 3 and Tier 2 HPC systems. She coordinates the European-wide calls for tenders, from proposal to procurement to the final acceptance. Her team is also responsible for providing software licenses for all students and employees at KIT, for the federated services of bwHPC, as well as for the Tier 2 HPC system nationwide. In the scope of different activities, like Helmholtz.AI and HIFIS, she is responsible for establishing improved ways of user-support and alternative access strategies to HPC systems in the future.


At the University of Stuttgart an increasing number of working groups want to comply with the FAIR Data Principles. Therefore they want to use a laboratory-information-management-system / electronic laboratory book (LIMS/ELN) for their experimental work or a documentation system for simulation work. Such systems are used for data integration and facilitate for example the connection of experimentally acquired data to the respective modelling environment.

The development of methods, standards and tools for research data management (RDM) is currently very dynamic; the scientific fields are fragmented in terms of processes and standards. This fragmentation is particularly evident in a number of about 300 existing LIMS/ELN products, which on the one hand offer very specific solutions for individual applications and on the other hand try to serve a broad spectrum of users. Under these conditions, it is difficult to select the appropriate RDM strategy.

[Picture: KIT]

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