| Titel | Kurzbeschreibung | Ansprechperson | Endtermin |
|---|---|---|---|
| HAICORE | The Helmholtz AI COmpute REssources infrastructure project is part of the Helmholtz Incubator "Information & Data Science" and serves to provide high-performance computing resources for researchers in the field of artificial intelligence (AI) in the Helmholtz Association. |
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| Helmholtz AI | Die Helmholtz AI Plattform ist ein Forschungsprojekt des Helmholtz Inkubators “Information & Data Science”. Die übergeordnete Mission der Plattform ist dabei die “Demokratisierung von KI für eine datengetriebene Zukunft” und zielt darauf ab einer möglich breiten Nutzendengruppe KI-Algorithmen und -Ansätze einfach handhabbar und ressourcenschonend zur Verfügung zu stellen. |
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| NFDI MatWerk | The NFDI-MatWerk consortium receives a five-year grant within the framework of the National Research Data Infrastructure (NFDI) for the development of a joint materials research data space. NFDI-MatWerk stands for Materials Science and Engineering to characterize the physical mechanisms in materials and develop resource-efficient high-performance materials with the most ideal properties for the respective application. translated with DeepL.com |
30.09.2026 |
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| Materialized holiness (toRoll) | Translated with DeepL.com In the project "Materialized Holiness" Torah scrolls are studied as an extraordinary codicological, theological and social phenomenon. Unlike, for example, copies of the Bible, the copying of sacred scrolls has been governed by strict regulations since antiquity and is complemented by a rich commentary literature. Together with experts in Jewish studies, materials research, and the social sciences, we would like to build a digital repository of knowledge that does justice to the complexity of this research subject. Jewish scribal literature with English translations, material analyses, paleographic studies of medieval Torah scrolls, as well as interview and film material on scribes of the present day are to be brought together in a unique collection and examined in an interdisciplinary manner for the first time. In addition, a 'virtual Torah scroll' to be developed will reveal minute paleographic details of the script and its significance in cultural memory. |
31.03.2026 |
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| NFFA Europe Pilot | NEP provides important resources for nanoscientific research and develop new cooperative working methods. The use of innovative research data and metadata management technologies is becoming increasingly important. In the NEP project, the SCC contributes with new methods for metadata enrichment, development of large data collections, and the provision of virtual services to the establishment of a joint research data infrastructure. |
28.02.2026 |
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| NFDI4Ing | NFDI4Ing is a consortium of engineering sciences and promotes the management of technical research data. NFDI4Ing was founded back in 2017 and is in close exchange with researchers from all engineering disciplines. The consortium offers a unique method-oriented and user-centered approach to make technical research data FAIR - discoverable, accessible, interoperable and reusable. An important challenge here is the large number of sub-disciplines of engineering and their subject-specific peculiarities. KIT is involved with a co-spokesperson, Britta Nestler from the Institute for Applied Materials(IAM) and a co-spokesperson, Achim Streit from the Steinbuch Centre for Computing (SCC). translated with DeepL.com |
30.09.2025 |
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| NFDI4Chem - Chemical Consortium in the National Research Data Infrastructure | The vision of NFDI4Chem is the digitalization of all work processes in chemical research. To this end, infrastructure is to be established and expanded to support researchers in collecting, storing and archiving, processing and analyzing research data, as well as publishing the data in repositories together with descriptive metadata and DOIs, thus making them referenceable and reusable. NFDI4Chem represents all disciplines of chemistry as a professional consortium and works closely with the major scientific societies. |
Dr. Felix Bach |
30.09.2025 |
| iMagine | iMagine is an EU-funded project that provides a portfolio of ‘free at the point of use’ image datasets, high-performance image analysis tools empowered with Artificial Intelligence (AI), and Best Practice documents for scientific image analysis. These services and materials enable better and more efficient processing and analysis of imaging data in marine and freshwater research, relevant to the overarching theme of ‘Healthy oceans, seas, coastal and inland waters’. |
31.08.2025 |
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| Artificial Intelligence for the European Open Science Cloud - AI4EOSC | The AI4EOSC (Artificial Intelligence for the European Open Science Cloud) is an EU-funded project that delivers an enhanced set of advanced services for the development of AI/ML/DL models and applications in the European Open Science Cloud (EOSC). These services are bundled together into a comprehensive platform providing advanced features such as distributed, federated and split learning; novel provenance metadata for AI/ML/DL models; event-driven data processing services. The project builds on top of the DEEP-Hybrid-DataCloud outcomes and the EOSC compute platform. |
31.08.2025 |
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| Skills for the European Open Science Commons: Creating a Training Ecosystem for Open and FAIR Science (Skills4EOSC) | Skills4EOSC brings together leading experts from national, regional, institutional and thematic open science and data competence centers from 18 European countries with the aim of unifying the current training and education landscape into a common cross-European ecosystem to train researchers and data specialists from Europe at an accelerated pace in the fields of FAIR open data, data-intensive science and scientific data management. |
31.08.2025 |
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| Helmholtz Metadata Collaboration Platform | With the Helmholtz Metadata Collaboration Platform, an important topic area of the Helmholtz Incubator "Information & Data Science" was launched at the end of 2019, bringing together the expertise of the Helmholtz Centres and shaping the topic of "Information & Data Science" across the boundaries of Centres and research fields. The overarching goal of the platform is to advance the qualitative enrichment of research data through metadata in the long term, to support researchers - and to implement this in the Helmholtz Association and beyond. With the work package FAIR Data Commons Technologies, the SCC develops technologies and processes to make research data from the research fields of the Helmholtz Association and beyond available to researchers according to the FAIR principles. On a technical level, this is achieved through uniform access to metadata using standardised interfaces that are based on recommendations and standards adopted by consensus within globally networked research data initiatives, e.g. the Research Data Alliance(RDA). For researchers, these interfaces are made usable through easy-to-use tools, generally applicable processes and recommendations for handling research data in everyday scientific life. translated with DeepL.com |
30.09.2024 |
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| Episteme in motion | The Collaborative Research Centre 980 'Episteme in Motion' has been investigating processes of knowledge change in European and non-European cultures from the 3rd millennium BC to around 1750 AD since 2012. Since 2016, the SCC has been supporting the collection of digital evidence for previously unresolved questions through its expertise in modern research data management. translated with DeepL.com |
30.06.2024 |
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| bwIDM-Security and Community | The outlined project bwIDM2 is dedicated to the increased demands on IT security and takes into account current technical developments. It creates the prerequisites for the integration of services across higher education institutions and establishes a group/role administration for supraregional and national communities with delegation mechanisms. In addition, specialist concepts for the integration of a long-term person identifier in bwIDM, as required for use in research data management, are being developed. |
31.07.2023 | |
| Data Infrastructure Capacity for EOSC | The Data Infrastructure Capacities for EOSC (DICE) consortium brings together a network of computing and data centres, research infrastructures, and data repositories for the purpose to enable a European storage and data management infrastructure for EOSC, providing generic services and building blocks to store, find, access and process data in a consistent and persistent way. More information |
30.06.2023 |
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| EGI Advanced Computing for EOSC | EGI-ACE empowers researchers from all disciplines to collaborate in data- and compute-intensive research across borders through free at point of use services. Building on the distributed computing integration in EOSChub, it delivers the EOSC Compute Platform and contributes to the EOSC Data Commons through a federation of Cloud compute and storage facilities, PaaS services and data spaces with analytics tools and federated access services. The Platform is built on the EGI Federation, the largest distributed computing infrastructure for research. More information |
30.06.2023 |
