aUPaEU - A University Partnership for Acceleration of European Universities
Based on the collaboration of five academic institutions from two European higher education alliances (EPiCUR and Unite!), the project aUPaEU aims to establish a common platform for the exchange of services, knowledge and experiences.
This platform will enable higher education institutions and alliances to implement integrated, collaborative and fundamental change. The focus is on six core themes: Capacity Building, Infrastructure and Resource Sharing, Attractive Career Paths for Researchers, Collaboration with Research & Innovation Ecosystem Actors, Open Science, Societal Exchange, and Gender Equality.
|01.2023 - 12.2027
Karlsruhe Institute of Technology (EPICUR)
Uniwersytet im. Adama Mickiewicza w Poznaniu (EPICUR)
Universitat Politècnica de Catalunya – BarcelonaTech (unite!)
Grenoble INP - UGA Institut d'ingénierie et de management (unite!)
Politecnico di Torino (unite!)
bwFDM - The Baden-Württemberg State Initiative for Research Data Management
The Baden-Württemberg State Initiative for research data management bwFDM is active in five different areas: networking with RDM stakeholders in Baden-Württemberg and beyond; coordinating support for the implementation of the research data strategy; maintaining and further developing the information platform forschungsdaten.info; consulting and training on RDM for Baden-Württemberg higher education institutions, e.g. developing an RDM Helpdesk BW and an RDM certificate course BW, as well as continuing the E-Science-Tage conference series. bwFDM aims to continue and expand the structures and results of the predecessor projects bwFDM-Info I, bwFDM-Info II and bw2FDM.
|05.2023 - 07.2027
Baden-Württemberg Ministry of Science, Research, and the Arts (MWK)
Karlsruhe Institute of Technology (KIT)
University of Heidelberg
University of Konstanz
Helmholtz Information & Data Science School for Health (HIDSS4Health)
The aim of the Helmholtz Information & Data Science School for Health (HIDSS4Health) is to attract, promote and train the best young talents at the interface between data science and health-related applications. HIDSS4Health offers a structured doctoral training program embedded in a highly interdisciplinary research environment, bringing together experts from the data and life sciences. The scientific curriculum is complemented by training measures that provide doctoral researchers with the key qualifications expected from future leaders in science and industry. Information paper (German only).
|02.2019 - 01.2025
Karlsruhe Institut of Technology (KIT)
German Cancer Research Center (DKFZ)
University of Heidelberg
MoMaF - Science Data Center for Molecular Materials Research
MoMaF (German only) is one of the four Science Data Centers funded by the MWK's Digitization Strategy digital∂bw. The goal of MoMaF is the development of a comprehensive virtual research environment (VRE) for the research areas molecular chemistry, macromolecular chemistry / surface chemistry and virtual material development. The VRE supports scientists in the entire research process, from data collection and analysis in electronic laboratory journals (ELN - Electronic Lab Notebook) to archiving and publication in repositories. The subject-specific ELNs and the corresponding interoperable repositories ensure efficient and sustainable handling of research data by implementing the FAIR Open Data Principles.
MO|RE data - eResearch-Infrastructure for motor research data
Data on motor skill performance have been collected nationally and internationally for decades in a large number of projects, but the results seem to be inconsistent and sometimes contradictory. In addition, the collected data has been published only partially, whereas the remaining unpublished data is not accessible for interested research groups.
The goal of the DFG-funded project is to pool all available data on motor skill performance in an eResearch infrastructure and make it available to the general public. Furthermore, MO|RE data is intended to generate comprehensive standard data and to publish materials for sports motor skill tests. The focus is on data from the German motor skills Test 6-18 (German only) and other selected standardized tests with a high degree of dissemination. MO|RE data should be accessible free of charge for scientists as well as for practitioners (trainers, teachers, physicians), and the interested public. MO|RE data aims to create a web-based application whose research data can be exported and reused as citable and internationally proven data. This should provide incentives to share research data, as well as to continue doing research with citable data to improve the data and expand the data basis.
|Set-up of an eResearch-infrastructure of research data on motor performance - motor research data (MO|RE data)
|Professionalisation of the eResearch-infrastructure of research data on motor performance - motor research data (MO|RE data)
Networking, improvement of usability, quality, assurance and sustainability
The main focus of the project re3data COREF (Community Driven Open Reference for Research Data Repositories) is the further professionalization of re3data and the provision of reliable and customizable descriptions of research data repositories. re3data will provide the main descriptions of the repositories, which can be usefully referenced and cited by the users. As a result a permanent identification is possible.
|01.2020 - 12.2022
German Research Foundation (DFG)
Berlin School of Library and Information Science (IBI)
German Research Centre for Geosciences Potsdam (GFZ)
The European project Skills4EOSC (Skills for the European Open Science commons: creating a training ecosystem for Open and FAIR science) will set up a pan-European network of competence centres to speed up the training of European researchers and harmonise the training of new professional figures for scientific data management.
Over the next three years, it will work to provide Open Science Commons and create an EOSC-ready skilled European workforce, connecting existing centres of competence in open science and scientific data management. The aim is to develop methodologies, activities and training resources to unify the current training landscape into a collaborative and reliable ecosystem and to provide dedicated community-specific support to leverage the potential of EOSC for open and data-intensive research.
The project is structured around six key areas of activity:
- Minimum Viable Skillsets (MVS)
- FAIR-by-design methodology for learning materials
- Harmonised curricula and learning paths
- Lifelong learning through professional networks
- Skills4EOSC Competence Centre and support network
|09.2022 - 08.2025
Consortium GARR (Coordination)
44 Partners in 18 Countries
TreuMoDa - Treuhandstelle Mobilitätsdaten
The project entitled "Conceptualization and prototypical practical testing of a trust center for mobility data in the application field of automated driving using one of the test sites for autonomous driving in Baden-Württemberg", TreuMoDa, will design an independent and non-profit interface enabling the provision and use of data from the field of mobility that complies with data protection requirements by science, industry and society in accordance with transparent criteria. The goal is to develop a concept of a trust center for mobility data ready for application and to test the most important aspects in an exemplary manner. the business model, legal form and financing options for the establishment of a neutral, independent and yet sustainably financed trust agency will be developed in cooperation with stakeholders. On top of that, a network towards relevant national and international initiatives such as the consortia of the National Research Data Infrastructure will be established.