Data Catalogs are technical solutions to manifest and drive data management and data governance in companies. To support the creation of data-driven products and services as well as the fulfillment of compliance requirements, the introduction of a Data Catalog was identified as a central element for the implementation of the data strategy. Fraunhofer ISST supports Dräger as a neutral partner during solution selection and implementation.
The supply chain law or the monitoring of a CO2 footprint are only two current challenges of the automotive industry. They require cross-company data usage so that end-to-end value chains emerge. In the Catena-X project, an ecosystem for the entire automotive sector is being established, which will be set up in a highly scalable manner from the very beginning. The core element of the network is a shared offering of federated data and services that enables companies to shorten the "time-to-market" of innovative solutions, use resources more efficiently, and increase the transparency and resilience of value creation processes.
"Data governance" in the data ecosystem of the Smart City Solingen. In the "MobiDataSol" project, a data trust model is being developed and tested that enables cross-organizational data exchange as the basis of a data ecosystem to be established in the context of the Smart City at the municipal level. Based on the analysis of the interests and needs of the various actors at the municipal level, a data trust model will be developed and tested in the application area of mobility and environmental data. The project is being carried out by the city of Solingen together with the Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e. V. - represented by the Fraunhofer Institute for Industrial Engineering IAO and the Fraunhofer Institute for Software and Systems Engineering ISST - as well as the University of Stuttgart and the Institute for Energy and Environmental Research (ifeu).
The FAIR Data Spaces project aims to build a common cloud-based data space for business and science by merging the two initiatives "Gaia-X" and "National Research Data Infrastructure (NFDI)". "FAIR" stands for the guiding principles for the responsible management of research data. According to these principles, research data should be findable, accessible, interoperable and reusable. The project aims to identify and exploit synergies between the two initiatives Gaia-X and NFDI and to bring the two initiatives closer together in terms of content. The project also aims to promote and demonstrate the sovereign exchange of data between industry and science at both national and European level in concrete applications and fields of work. For a wide range of actors, especially from the economy, added values can be created and demonstrated through the exchange of data.
Incentives and Economics of Data Sharing. The aim of the project "Incentives and Economics of Data Sharing" (IEDS) is to investigate the design of incentive systems for data sharing in an entrepreneurial context through interdisciplinary collaborative research.
Bauhaus.MobilityLab Erfurt aims to develop an open, service-oriented ecosystem to more effectively link the energy, transport, mobility, environment, and logistics sectors. The core of BML-EcoSys is a high-performance laboratory platform for the providers and users of new (mobile) services to interact from the outset, jointly developing and testing innovative solutions using AI applications.
The project "EnDaSpace PLATON" is dedicated to the development of a platform-based ecosystem in the application context of the hydrogen economy in two subprojects. The technological sub-project "EnDaSpace Platform" focuses on the development of the digital platform for operating data of wind turbines and hydrogen electrolysers.
Cooperation between Boehringer Ingelheim and the Fraunhofer Institute for Software and Systems Engineering ISST in the Enterprise Lab began in 2016, with the objective of actively researching technologies and innovations in the pharmaceuticals field and furthering them in short, agile projects.
What it's all about The automotive industry is characterized by multi-level supply chains with numerous players. Each actor usually collects data before passing it on. This often leads to delays in the exchange of information, for example quality management data. In addition, component quality problems are often discovered in auto repair shops, but are only reported directly to the manufacturer in the case of a warranty claim.
The Fraunhofer Cluster of Excellence Cognitive Internet Technologies CCIT re-searches cognitive technologies for the industrial Internet. Researchers in various disciplines are developing key technologies along the value chain, from sensors to intelligent learning methods in data processing to the cloud. CCIT helps companies with the forward-looking design of their business by opening up market access with cognitive solution services and products.
In conjunction with digitization, the development of data-driven business models, and the emerging data ecosystems, the importance of data as a resource is grow-ing and ultimately becoming a key competitive factor for companies. The objective of the DEMAND project – Data Economics and MANagement of Data-driven busi-ness – is to develop a fundamental structure for a future-oriented data management approach that helps companies effectively manage data as a resource.
Industrial data storage and use is becoming more and more important in increasingly digitizing processes. For example, a company-specific approach to centralized and de-centralized data management must be found and operational responsibilities must be clearly defined. A functioning data management system is of strategic importance for business processes such as customer service.
The project’s background is that the data bases of tourism organizations are not only of interest for the open data community, but also for citizens, research institu-tions, companies, and others. This open data project was therefore initiated as an identified regional project of far-reaching importance for the Ruhr metropolis, striv-ing to develop a regional open data offering.
In the project "GAIA-X 4 KI" we focus on the development of a Gaia-X-based digital ecosystem for training and validation of AI applications in the automotive domain. The goal of the three-year project is to map relevant automotive applications in a federated system architecture and, based on the results of the project and the developments in Gaia-X, to build a digital ecosystem that will serve as the basis for further projects in the GAIA-X 4 Future Mobility project family.
Scientific institutions based in Dortmund that – on their own – are already shaping and driving logistics research today are working together under the umbrella of the High Performance Center Logistics and IT. In the High Performance Center, they are now establishing a national infrastructure and innovation ecosystem in cooperation with industry, not only together but also synergetically – from fundamental research to applied research.
The digitization of industry and ongoing networking are increasing the performance and complexity of technical systems and the corresponding processes. Intelligent production (industry 4.0) is believed to have disruptive innovation potential in the industrial environment. Artificial intelligence (AI) is considered a key technology here.
Companies are continuously recording increasing volumes of master, movement, and process data, and using them in numerous business processes. As a result, the intelligent management of these data is increasingly becoming a key success factor in global competition. Obtaining gainful information and effectively improv-ing business processes can only succeed when data of high quality are collected and made available.
Global digital networking is ongoing. This makes new business models, smart ser-vices, and innovative service offers possible. The secure exchange of data in value chains is a prerequisite. Meanwhile the calls for German and European solutions in the highly competitive market for industrial cloud-based solutions are getting ever louder.
Mobility will increasingly adapt to the individual needs of travelers in the coming years, for example through new on-demand mobility offers and autonomous vehi-cles in private and public transport.
NTT is a Japanese telecommunications company whose activities include global, cross-enterprise data exchange. A crucial factor is data sovereignty, to ensure that the shared data is not misappropriated or passed on without authorization.
QU4LITY is the largest European project dedicated to autonomous quality (AQ) and zero defect production in industry 4.0. Increasing global competition and the de-mand for personalized products and services are prompting companies to find efficient means of production and to reduce costs.
The QuarZ project – “Quartier der Zukunft” – aims to improve the everyday lives of people in urban districts. Services, for example in the smart home, smart invoice, district network, and mobility fields, are being developed for this purpose within the project framework.
The SDaC project aims to develop a platform for the use of artificial intelligence (AI) applications in the building sector. AI applications contribute to completing construction projects more efficiently and quickly, and to better meeting the needs of building users.
The potential for optimizing processes with a view to increasing efficiency or for digital services and new business areas is virtually inexhaustible. However, logistics in Germany will only be able to defend or expand its global market leadership if the potential is tapped.
Digital networking is an important element in securing competitiveness in medium-sized mechanical and plant engineering companies. Complex plants and machines are linked with industrial services, such as maintenance or digital remote services, in order to tailor individual customer solutions over the entire system life cycle.
The new state tourism strategy for North Rhine-Westphalia recommends a decentral-ly organized yet networked data and content strategy. This requires data to be pre-pared so they are machine-readable and available to all tourism industry players in NRW and beyond – regardless of the output format, from the smartphone to the big screen. Uniform data standards and open licensing for data with the intent of developing a corresponding visibility are elementary here.
Fraunhofer Institute for Software and Systems Engineering
