Tobias Gebel

Tobias Gebel serves as Deputy Head of the IT and Research Infrastructure Department at the German Institute for Economic Research (DIW Berlin), where he leads initiatives in research data systems and infrastructure. His role centers on advancing data management practices for economic and social research.

His educational background includes:

• Doctorate in Sociology from Bielefeld University
• Studies in Sociology at Chemnitz University of Technology

Gebel's research integrates technical and social science methodologies, with primary expertise in research data management, qualitative secondary analysis, and labor market dynamics. He pioneers frameworks for anonymizing survey data, developing digital repositories for historical economic archives, and enabling sustainable reuse of qualitative organizational data. His work bridges data science with labor economics, emphasizing ethical data sharing and infrastructure innovation to address challenges in employment research and organizational studies.

Recent publications reveal a cohesive trajectory: advancing data anonymization protocols for large-scale surveys (e.g., LINOS and SOEP projects), establishing digital archives for historical economic documents (WBdigital), and applying qualitative secondary analysis to labor market phenomena like job recalls. These efforts demonstrate an interdisciplinary fusion of data engineering, labor economics, and organizational theory, with consistent focus on methodological rigor and practical applicability in real-world policy contexts.

No scientific awards are documented in the provided information.

Gebel actively leads grant-funded projects including the current QualiDataNet initiative—a federated infrastructure for archiving qualitative research data—and previously contributed to CoyPu (resilience platforms for economic ecosystems), eLabour II (IT-based labor sociology research), and WBdigital (digitization of DIW's historical publications). These projects underscore his strategic role in securing and executing research funding to build national data ecosystems.

He co-develops critical research infrastructures including the Research Data Center for Business and Organizational Data (FDZ-BO) and QualiDataNet, which standardize data curation, anonymization, and access protocols for qualitative datasets. These teams collaborate with federal agencies and academic networks to promote FAIR data principles across German social science research.