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Abstract: As data becomes an increasingly vital resource in science, society, and the economy, the need for strong data competencies continues to grow. The interdisciplinary data competence center DataNord, established in 2023, provides a scalable and integrative model for promoting responsible, data-driven research and strengthening data literacy among researchers. Anchored in the U Bremen Research Alliance, DataNord brings together universities, non-university research institutions, and infrastructure providers – connecting regional expertise with broader initiatives, such as the National Research Data Infrastructure. DataNord operates across three interconnected pillars: learning, research, and networking. Based on comprehensive need assessments (2020–2023), its activities are tailored to researchers in Bremen, spanning all disciplines and skill levels. The structured training program Data Train offers basic training in research data management and data science. At the University of Bremen’s Data Science Center, an interdisciplinary team of data scientists delivers flexible training modules and operates a centralized helpdesk for personalized consultation, closely connected with data steward services. In the “Research Academy”, interdisciplinary projects foster advanced data expertise in collaborative settings. Networking activities serve both individual and systemic levels: formats like the “Data Community Club” promote peer-to-peer exchange, while broader initiatives such as the “Research Data Day” and a Citizen Science project connect academia with society, industry, and policy stakeholders – broadening DataNord’s reach. This integrative approach strengthens data culture and creates a collaborative ecosystem in which knowledge transfer, innovation, and digital sovereignty can flourish. With ist regional focus and national integration, DataNord serves as a best practice example for sustainable, future-proof data competence infrastructures in Germany and beyond.

Keywords: Data Train, Research Data Management, Data Science, Data Services.