Projects linked to HDS-LEE

DataPLANT

Duration

2020-2025

Involved HDS-LEE PIs

Prof. Björn Usadel

Project Partners

  • Albert-Ludwigs-University Freiburg
  • Eberhard Karls University Tübingen
  • Technical University of Kaiserslautern
  • Forschungszentrum Jülich

Funding Agency

Deutsche Forschungsgemeinschaft (DFG)

Description

The HDS-LEE PI Prof. Björn Usadel and his working group at IBG-4 is involved in the recently initiated research consortium ‘DataPLANT’ (NFDI4Plants). The consortium is one of a total of nine in the National Research Data Infrastructure (Nationale Forschungsdateninfrastruktur - NFDI) initiative, which focuses on the systematic indexing, editing, sustainable storage and accessibility of science and research data resources and (inter)national networking. ‘DataPLANT’ aims to develop a service and data infrastructure enabling modern plant research to collect and provide large amounts of data in compliance with the FAIR data principles. With their tools that are currently being developed, ‘DataPLANT‘ is striving to use existing services and make them accessible rather than to create a completely new infrastructure.

‘DataPLANT’ is coordinated by the Albert-Ludwigs-University of Freiburg (Spokesperson: Dr. Dirk von Suchodoletz). Co-applicant institutions are the Eberhard Karls University Tübingen (Co-spokesperson: Dr. Jens Krüger), the Technical University of Kaiserslautern (Co-spokesperson: Jun. Prof. Timo Mühlhaus) and the Forschungszentrum Jülich. Prof. Björn Usadel acts as one of the co-spokespersons of ‘DataPLANT’. His group will focus on the development of plant research (meta)data standards (Standardization), ensuring data quality including the completeness of the metadata (data quality), and interoperability to ensure the (re)usability of the research data (data/workflow interoperability). These efforts will be conducted to strengthen and coordinate standardization efforts in plant research-related data and workflow annotation and will be closely linked with other relevant NFDIs nationally and internationally projects. Prof. Björn Usadel’s research work for ‘DataPLANT’ will be strongly connected to HDS-LEE project ‘Framework for Meta Data Analysis and Interactive Exploration of large Plant FAIR data sets’ to use synergies of both projects and to connect them.

Related links

https://nfdi4plants.de/

https://fz-juelich.de/ibg/ibg-4/EN/Aktuelles/News/Dokumente/standardartikelDATAPLANT.html?nn=2694536

https://www.nfdi.de/

KI:STE

Duration

2020-2023

Involved HDS-LEE PIs

Prof. Julia Kowalski

Project Partners

  • Forschungszentrum Jülich
  • University of Cologne
  • RWTH Aachen
  • Rheinische Friedrich-Wilhelms-Universität Bonn
  • 52° North Initiative for Geospatial Open Source Software GmbH
  • Ambrosys GmbH

Funding Agency

German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU).

Zukunft-Umwelt-Gesellschaft (ZUG) gGmbH is the responsible project-executing agency for the KI Lighthouses funding program.

Description

HDS-LEE PI Prof. Julia Kowalski successfully acquired the BMU “KI Leuchtturmprojekt” (AI Lighthouse Project) with the title “KI:STE- KI-Strategie für Erdsystemdaten” (AI strategy for Earth system data) together with her project partners from Forschungszentrum Jülich, University of Cologne, Rheinische Friedrich-Wilhelms-Universität Bonn, 52° North Initiative for Geospatial Open Source Software GmbH and Ambrosys GmbH.

The aim of the KI:STE project is to analyze and process data on the state of nature and the environment by using artificial intelligence (AI) and make it available to the public. Within this project, the technical requirements will be created to make high-performance AI applications on environmental data portable for future users and to establish environmental AI as a key technology. This will enable better prediction of weather extremes such as heavy rain and drought in the future.

The project is part of the funding initiative "AI Lighthouses for Environment, Climate, Nature and Resources." With this initiative, the German Federal Ministry for the Environment is funding projects that use artificial intelligence to tackle ecological challenges.

The doctoral students of the KI:STE project will join the HDS-LEE school and strengthen the network within the HDS-LEE community.

Related links

https://kiste-project.de/

https://www.fz-juelich.de/SharedDocs/Meldungen/IAS/JSC/EN/2020/2020-10-kiste.html

SDL Digital Patient @NHR4CES

Duration

2021-2031

Involved HDS-LEE PIs

Prof. Giulia Rossetti, Prof. Andreas Schuppert

Project Partners

RWTH Aachen and TU Darmstadt

Funding Agency

Description

HDS-LEE PIs Prof. Gulia Rossetti and Prof. Andreas Schuppert lead the Simulation Data Lab (SDL) ‘Digital Patient’ together with their colleague Prof. Dorit Merhof within the big consortia of NHR4CES. The aim is to develop a personalized model of a patient for diagnostics, prediction of disease progression and therapy outcome by using integrate HPC resources with ML algorithms and simulations to develop model-based medical applications, ranging from molecular modeling of disease mechanisms up to patient scale system medicine models. The SDL will provide the full range of expertise from simulations of biochemical processes on a molecular scale, integration of heterogeneous data sources from genomics to clinical monitoring data with biomedical knowledge into hybrid models up to integrated image analysis on the patient scale.

In NHR4CES (NHR for Computational Engineering Science), RWTH and TU Darmstadt cooperate to foster computational engineering sciences in joint projects, graduate schools and study programs. The focus is on engineering applications, especially in complex flow scenarios or energy conversion, materials design, engineering physics and chemistry. In recent years, research competencies in parallel computing, data management and artificial intelligence have also been developed.

The National High Performance Computing (Verbund für das Nationale Hochleistungsrechnen – NHR) Alliance includes university computing centers of national importance as NHR centers, which are financially supported by the federal and state governments, as agreed by the Joint Science Conference (Gemeinsame Wissenschaftskonferenz - GWK) in November 2018. This form of collaboration ensures that scientists at German universities receive the best possible support for high-performance computing. Eight computing centers were included in the NHR funding.

Related links

https://www.nhr-gs.de/nationales-hochleistungsrechnen

https://www.itc.rwth-aachen.de/cms/IT-Center/IT-Center/Aktuelle-Meldungen/~ldync/RWTH-im-NHR-Verbund/?lidx=1

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