NRW Tag der Forschungsdaten 2024
Erfolgreiche Forschungsnetzwerke: mit Daten zusammen wachsen
12. November 2024
08.30-09.00 | Ankunft / Abholung bei FZJ -Pforte | FZJ-Haupteingang |
09.00-09.30 | Ankommen im PGI-Hörsaal | PGI-Hörsaal Geb. 04.8W, Raum 365 |
09.30-12.00 | Übertragung des Vormittagsprogramms von fdm.NRW | PGI-Hörsaal Geb. 04.8W, Raum 365 |
12.00-13.30 | Mittagspause im Seecasino | |
13.30-16.00 | Thementische der lokalen Netzwerke - Teaser der FDM-Angebote (13.30-14h)
- Runde (14-15h)
- Runde (15-16h)
| Rotunde des JSC Geb. 16.4, Raum 301 |
16.00-17.30 | Poster, Get-together | Rotunde des JSC Geb. 16.4, Raum 301 |
Thementische der Netzwerke
De.KCD: Weathering the Storm: Managing Research Data in the Cloud
As researchers navigate the complexities of big data, they often find themselves struggling to manage and analyze large datasets. Cloud computing environments offer a promising solution, but getting started can be daunting. In this session, we'll explore how the German Competence Center for Cloud Technologies (de.KCD) supports researchers in harnessing the power of cloud computing for big data analysis by making use of the de.NBI Cloud, a national research infrastructure that provides scalable and on-demand access to computational resources and storage. Participants will be introduced into solutions like SimpleVM to deploy and manage virtual machines tailored to their specific research needs. Short hands-on examples and real-world use cases will demonstrate how researchers can leverage the de.KCD's expertise and the de.NBI Cloud infrastructure to analyze bigger data in a cloud environment.
Hosts: Alexander Sczyrba (FZJ, IBG-5), Sebastian Jünemann (FZJ, IBG-5), Peter Belmann (FZJ, IBG-5)
DKZ.2R: Reducing data-related hurdles in research
The Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R) is an initiative funded by the German Federal ministry for Education and Research (BMBF) and the European Union. We are a consortium of nine institutions in the Rhine-Ruhr area including universities, research institutions, and universities of applied science. Our goal is to train researchers in methodological data literacy in a holistic way, and thereby promote data-competent scientists. Our offers include e.g. curated training courses, data challenges, and various consulting and support formats. As part of our workshop, we will give an overview of the actions and activities offered by the DKZ.2R, help you assess your own level of data literacy, and introduce you to those of our services that might be relevant for you and your work. Our workshop is open to ever
Hosts: Alicia Janz (FZJ, IAS-9), Katharina Immel (FZJ, IAS-9), Christian Hillen (University of Cologne, RRZK)
HDS-LEE Graduate School: Data intensive Workflows in Science
The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) is an international graduate school in the ABCD (Aachen-Bonn/Cologne-Düsseldorf) region. HDS-LEE is a cooperation between RWTH Aachen University and its University Hospital, the University of Cologne, the German Aerospace Center (DLR), and Forschungszentrum Jülich. The graduate school educates and trains the next generation of data scientists in close contact to domain-specific knowledge and research in three application domains: Life and medical science, earth science, energy systems and material science. These research fields are characterized by the generation and analysis of big and heterogeneous data sets, which require interpretation in the context of mathematical models. Therefore, trainings on data science and research data management (RDM) are essential parts of the curriculum. At the day of research data (Tag der Forschungsdaten), we will provide an overview of our training program in HDS-LEE, and present a highlight RDM project on tracing metadata and results of computational process simulation and design within our open source project CADET.
Hosts: Wolfgang Wiechert (FZJ, IBG-1 and scientific director HDS-LEE), Ronald Jäpel (FZJ, IBG-1)
HMC: Organizing your software metadata with Somesy and FAIR Python Cookiecutter
Software development best practice needs to consider a lot of recommendations and is complex. When it comes to metadata several overlapping metadata standards for software are available. This requires maintaining multiple files in different places. By hand this becomes cumbersome and error prone. Somesy (https://helmholtz.software/software/somesy) can be used as a pre-commit hook within your software development workflow to automatically manage and update your software metadata. Mid-sized scientific software projects need to follow a number of best-practice guidelines (testing, documentation, metadata) to ensure high quality development and sustainability. For this we offer the FAIR python Cookiecutter (https://helmholtz-metadaten.de/en/tools/fairpythoncookiecutter) a template repository that you can readily use to start your software project. At the table we will introduce both tools and demonstrate how to set them up. In a hands-on part we will assist you to set them up for use in your software project - bring your laptop!
Hosts: Mustafa Soylu (HMC, FZJ-IAS-9), Fiona D‘Mello (HMC, FZJ-IAS-9)
