A5091344942- Research Data Management Practices
- Semantic Web and Ontologies
- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- Data Quality and Management
- Service-Oriented Architecture and Web Services
- Library Science and Information Systems
- Business Process Modeling and Analysis
- Big Data and Business Intelligence
- Artificial Intelligence in Healthcare
- Image Processing and 3D Reconstruction
- Innovative Teaching and Learning Methods
- Libraries and Information Services
- Online Learning and Analytics
- Advanced Database Systems and Queries
- Innovation, Technology, and Society
- Open Education and E-Learning
- Access Control and Trust
- Wikis in Education and Collaboration
- Linguistic Education and Pedagogy
- Digitalization, Law, and Regulation
- Security and Verification in Computing
- Mathematics, Computing, and Information Processing
- Indoor and Outdoor Localization Technologies
- Mobile and Web Applications
RWTH Aachen University
2017-2025
Maastricht University
2017
FAIR Digital Objects (FDO) are a concept to transfer digital objects the world of principles (Findable, Accessible, Interoperable, Re-Usable) that form common baseline for handling research data. Combined with an enterprise-ready cloud storage system, FDOs can be used make these systems fit purpose in data management (RDM) context. This allows profiting from scalability by connecting spaces concepts defined Gaia-x. The presented implemented based on shared, geo-redundant system and within...
This work presents how to link different implementations of FAIR Digital Objects (FDOs) in a real-life application. First the application and use case is presented, afterward concepts are detailed, finally linking step outlined.
Research institutions have established a variety of research data infrastructures that orient towards discipline or methodology specific needs their respective community. Technically, these ultimately are based on “off-the-shelf” hardware and software building blocks – both commercial open-source. While such “enterprise ready” can scale well, they apt to silos typically do not adhere scientific standards like the FAIR (Findability, Accessibility, Interoperability, Reusability) principles out...
Die Digitalisierung bietet ein neues, effizientes Hilfsmittel, den wissenschaftlichen Fortschritt zu unterstutzen. In nahezu allen Bereichen lassen sich mit Hilfe moderner Informationssysteme Forschungsdaten digital archivieren und bei Bedarf leichter wiederverwenden. der heutigen Zeit, in das kollektive Wissen enormes Ausmas angenommen hat, ist die Systematisierung von zwingender denn je erforderlich. E-Science-Tage 2019, aus denen dieser Tagungsband hervorgegangen ist, haben neue Wege...
(Inter-)Nationale Infrastrukturen fur Forschungsdaten sind aktuell im Entstehen begriffen. Zentrale Infrastruktureinrichtungen mussen aber bereits jetzt den Bedarf der Wissenschaftlerinnen und Wissenschaftler eigenen Universitat nach forschungsnaher Unterstutzung erfullen. Gemeinsam ist beiden, dass erst die fachspezifische Anpassung Auspragung des Forschungsdatenmanagements (FDM) zu einer wirklichen Forschenden fuhrt. Aktuell gerade Plattformen erfolgreich, ganz auf Bedurfnisse...
Our university intends to improve the central IT-support for management of research data. A core demand is supporting FAIR guiding principles. In order make data findable future projects, an application creation and storage structured meta was developed. The created repository enable creating, maintaining querying based on discipline-specific properties. Since large number standards exist different scientific domains, technologies from areas Linked Data Semantic Web are used process store...
The project FAIR Data Spaces aims to create a common cloud-based data space for industry and research by connecting services already created in Gaia-X, IDS, NFDI EOSC, demonstrates this its own demonstrators. demonstrator Quality Analysis Workflows is giving researchers platform define run workflows data, the serve as showcase hybrid cloud scale-out scenario. While running user defined on stored git repositories, essence of hiding technical complexity that needed supply computational power...
This is the official proposal NFDI-consortium NFDI-MatWerk submitted to DFG within request for funding project. Visit www.dfg.de/nfdi more infos on German National Research Data Infrastructure (Nationale Forschungsdateninfrastruktur - NFDI) initiative. www.nfdi-matwerk.de last about project NFDI-MatWerk.