Kompetenzzentrum Datenqualität in den Sozialwissenschaften (KODAQS)

Leader

Prof. Dr. Beatrice Rammstedt
Prof. Dr. Florian Keusch (Universität Mannheim)
Prof. Dr. Frauke Kreuter (Ludwig-Maximilians-Universität München)

Team

Dr. Lena Roemer
Dr. Jessica Daikeler
PD Dr. Henning Silber
Dr. Clemens Lechner
Dr. Johannes N. Blumenberg
Dr. Pascal Siegers
Stefan Jünger
Prof. Dr. Katrin Weller
David Schoch
Prof. Dr. Claudia Wagner
Anne-Kathrin Stroppe
Fabienne Kraemer
Georgina Pfrang
Dr. N. Gizem Bacaksizlar Turbic
Dr. Fiona Draxler
Dr. Luis Mejia Lopez
Thomas Knopf M.Sc.
Laura Young
Çağla Ezgi Yıldız

Project coordination

Dr. Jessica Daikeler

Abstract

The Competence Center for Data Quality in the Social Sciences (KODAQS) aims to support and communicate the quality-assured use of social science data as a place of learning, research and networking. In addition to the traditional survey or self-report data that is still predominantly used, digital behavioral data and links between these and other data (e.g. geodata) are also included. KODAQs are intended to sensitize researchers to data quality and train them in its determination. Offers will be created that allow the use, processing, analysis and linking of social science data in a transparent and replicable manner.

The planned offerings include (1) the Data Quality Academy, which uses digital and hybrid learning opportunities to teach researchers how to handle social science data in a quality-assured manner, (2) the Data Quality Toolbox, which offers analysis codes for calculating key quality indicators with accompanying learning and consulting opportunities, (3) the DataFests, in which what has been learned is applied to one's own research in the form of hackathons, and (4) guest stays at KODAQS, in which - in cooperation with KODAQS employees - one's own research questions are examined with a view to data quality. In addition, KODAQS works with national and international experts to further develop data quality indicators.