2022, Landwehr, Matthias, Schneider, Gabriel, Hofmann, Stefan, Razum, Matthias, Soltau, Kerstin, Heuveline, Vincent, Bisheh, Nina

Die Universität Konstanz deckt ihren Bedarf nach einem institutionellen Forschungsdatenrepositorium mit der von FIZ Karlsruhe angebotenen Lösung „RADAR Local“. Als Alternative zu einer Eigenentwicklung wurde das Datenrepositorium als hybrides Modell mit Repositorien-Software und Archivierung auf lokaler Infrastruktur implementiert. Dabei stellt FIZ Karlsruhe die etablierte Repositorien-Software RADAR zur Verfügung, wartet und betreibt sie aus der Ferne und passt sie nach Kundenwunsch an. Um die parallele Installation und Pflege der RADAR-Software auf mehreren lokalen Instanzen effizient bewältigen zu können, hat FIZ Karlsruhe vorab den Automatisierungsgrad der betroffenen Prozesse in der Software-Entwicklung, in der Systemkonfiguration und im Deployment erhöht. Dies wurde durch den Einsatz von Container-Virtualisierung wie Docker und Docker Swarm sowie mit Orchestrierungswerkzeugen wie Ansible erreicht. Der zeitliche Aufwand und der personelle Ressourcenbedarf reduzieren sich dadurch für die Universität Konstanz und als Ergebnis erhält sie ein gepflegtes Repositorium auf dem aktuellen Stand der Technik. Gleichzeitig erfordert diese Betriebsvariante eine intensive Auseinandersetzung mit dem jeweiligen Geschäftsmodell und den technischen Rahmenbedingungen des Anbieters, eine genaue Kostenkalkulation sowie möglicherweise Kompromisse oder Abstriche bei individuellen Wünschen.

2023, Neumann, Steffen, Bach, Felix, Castro, Leyla Jael, Fischer, Tillmann, Hofmann, Stefan, Huang, Pei-Chi, Jung, Nicole, Katabathuni, Bhavin, Mauz, Fabian, Meier, René, Nainala, Venkata Chandra Sekhar, Rayya, Noura, Steinbeck, Christoph, Koepler, Oliver

The collection of metadata for research data is an important aspect in the FAIR principles. The schema.org and Bioschemas initiatives created a vocabulary to embed markup for many different types, including BioChemEntity, ChemicalSubstance, Gene, MolecularEntity, Protein, and others relevant in the Natural and Life Sciences with immediate benefits for findability of data packages. To bridge the gap between the worlds of semantic-web-driven JSON+LD metadata on the one hand, and established but separately developed interface services in libraries, we have designed an architecture for harmonising, federating and harvesting metadata from several resources. Our approach is to serve JSON+LD embedded in an XML container through a central OAI-Provider. Several resources in NFDI4Chem provide such domain-specific metadata. The CKAN-based NFDI4Chem search service can harvest this metadata using an OAI-PMH harvester extension that can extract the XML-encapsulated JSON+LD metadata, and has search capabilities relevant in the chemistry domain. We invite the community to collaborate and reach a critical mass of providers and consumers in the NFDI.

2023, Bach, Felix, Soltau, Kerstin, Göller, Sandra, Bonatto Minella, Christian, Hofmann, Stefan

The research data repository RADAR is designed to support the secure management, archiving, publication and dissemination of digital research data from completed scientific studies and projects. Developed as a collaborative project funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) (2013-2016), the system is operated by FIZ Karlsruhe - Leibniz Institute for Information Infrastructure - and currently serves as a generic cloud service for about 20 universities and non-university research institutions. Since its launch, RADAR has witnessed significant changes in the landscape of research data repositories and the evolving needs of researchers, research communities and institutions. In our presentation within the “Enabling RDM” Track, we will show how RADAR is responding to these dynamic changes. In order to create a sufficiently large user base for the sustainable operation of the system, we have moved RADAR away from its previous single focus on a discipline-agnostic cloud service and towards a demand-driven functional optimisation. In 2021, we introduced an additional operating model for institutions (RADAR Local), where we operate a separate RADAR instance locally at the institution site exclusively using the institutional IT-infrastructure. In 2022 we opened up RADAR to new target groups with community-specific service offerings, in particular in the context of the National Research Data Infrastructure (NFDI). Beside the expansion of the functional scope, our ongoing development work focuses also on strengthening the system's support for the FAIR principles [1] and the concepts of FAIR Digital Objects (FDO) [2] and Schema.org. Our presentation will outline recent RADAR developments and achievements as well as future plans thus providing solutions and synergy potential for the scientific community and for other service providers.