Empowering Data Literacy for Survey Researchers: Insights from the Interdisciplinary Help-Desk of the Data Competence Center "DataNord"

The requirements for data collection and analysis in survey research are becoming increasingly complex. Alternative data sources, such as social media and administrative records, as well as AI-based methods, are transforming the field by offering new opportunities while posing significant challenges. Researchers must navigate diverse data sources, ensure data quality, and address ethical and legal concerns.  
Surveys are conducted across various disciplines, each with unique requirements. As part of the U Bremen Research Alliance – a network of the University of Bremen and 12 non-university research institutes – and in collaboration with other regional partners, the data competence center “DataNord” equips researchers with the data literacy skills needed to tackle the evolving challenges of modern (survey) research. One key component is the Data Science Center (DSC) of the University of Bremen, where we built up an interdisciplinary team of data scientists to develop trainings and consultation offers as part of the DataNord help-desk. There, we provide tailored support to survey researchers with diverse methodological backgrounds and all skill levels.

Our contribution to DataNord comprises:

• Workshops and training: Topics include survey design, (survey) data management, integration of alternative data sources, reproducible research, and AI-based analysis.
• Individual consultations: Customized support for methodological challenges in (survey) research along the whole data life cycle.
• Interdisciplinary Collaboration: Facilitating networks to share innovative approaches and best practices. 

The poster showcases examples and best practices of how the interdisciplinary DataNord help-desk supports researchers across disciplines, from beginners to advanced practitioners, in addressing the complexities of modern survey research. This contribution invites the survey research community to share insights, exchange experiences, and explore collaboration opportunities to strengthen data literacy as a core competency across the social sciences and beyond.