Our Data Quality Services
Data Quality Academy
Digital and hybrid learning opportunities for the quality-assured handling of social science data.
Data Quality Toolbox
Analysis codes for calculating key quality indicators with accompanying learning and consulting services.
Guest Researcher Program
Guest stays at KODAQS, in which - in cooperation with KODAQS employees - own research questions are examined with a view to data quality.
DataFest
Apply and implement Data Quality Insights in a hackathon together with others.
The latest updates from KODAQS
Subscribe to our mailing list and stay up to date with the latest information from the KODAQS community.
About us
The Competence Center Data Quality in the Social Sciences (KODAQS), a partnership between GESIS, the University of Mannheim and the LMU Munich, offers demand-oriented support for the evaluation and analysis of the quality of social science data. It promotes understanding of data quality and offers training courses and tools such as the Data Quality Academy and the Data Quality Toolbox. Through events such as DataFests and the Guest Researcher Program, researchers can deepen and apply their knowledge. KODAQS works closely with national and international experts and data competence centers to continuously work on improving data quality indicators and to position itself as a pioneering project in the field of social science data quality.
The project is headed by Prof. Dr. Beatrice Rammstedt, Prof. Dr. Frauke Kreuter and Prof. Dr. Florian Keusch, with Dr. Jessica Daikeler as project coordinator. KODAQS is funded for three years as a data competence center by the BMBF.
Further information
11 - 12 December 2024: Online-Workshop “Tools – Indicators – Metrics: Data Quality in Computational Social Science”
21 November 2024: Kick-Off - KODAQS Data Quality Academy Certificate Program
9-11 October 2024: KODAQS at the Conference ''Computational Sociology: Methodological Challenges for Research and Teaching'' at the University Bremen
25 July 2024: Call for Applications - first cohort of the KODAQS Data Quality Academy Program
26 - 27 June 2024: Expert Workshop on Representation Bias in Survey Data
24 June 2024: Meet the Experts - Panel Discussion "From Samples to Insights: The Art of (Non) Probabilistic Surveys"
27 April 2024: Out now: Bridging Old and New: review on Data Quality in Digital Social Research
1 April 2024: Start of the first round of the KODAQS Guest Researcher Program
29 February 2024: KODAQS kick-off meeting at GESIS Institute
15 November 2023: Launch of KODAQS, the Compentence Center for Data Quality in the Social Sciences
- Daikeler, J., Fröhling, L., Sen, I., Birkenmaier, L., Gummer, T., Schwalbach, J., Silber, H., Weiß, B., Weller, K., & Lechner, C. (2024). Assessing Data Quality in the Age of Digital Social Research: A Systematic Review. Social Science Computer Review, doi.org/10.1177/08944393241245395
- Daikeler, Jessica, Leon Fröhling, Indira Sen, Lukas Birkenmaier, Tobias Gummer, Jan Schwalbach, Henning Silber, Bernd Weiß, Katrin Weller, and Clemens Lechner. 2024 (Forthcoming). "Assessing Data Quality in the Age of Digital Social Research: A Systematic Review." Social Science Computer Review. A Note on How Prior Survey Experience With Self-Administered Panel Surveys Affects Attrition in Different Modes - Tobias Gummer, Jessica Daikeler, 2020 (sagepub.com)
- Kunz, Tanja, Jessica Daikeler, and Daniela Ackermann-Piek. 2024. "Interviewer-observed paradata in mixed-mode and innovative data collection." International Journal of Market Research 66 (1): 14-26. doi: https://doi.org/10.1177/14707853231184742.
- Bach, Ruben, Carina Cornesse, and Jessica Daikeler. 2023. "Equipping the offline population with internet access in an online panel: Does it make a difference? ." Journal of Survey Statistics and Methodology online first. doi: https://doi.org/10.1093/jssam/smad003.
- Fröhling, Leon, Lukas Birkenmaier, and Jessica Daikeler. 2023. "Garbage in - Garbage out? : Datenqualität im Umgang mit digitalen Verhaltensdaten." Easy social sciences 2023 (68): 21-31. doi: https://doi.org/10.15464/easy.2023.03.
- Kraemer, Fabienne, Henning Silber, Bella Struminskaya, Matthias Sand, Michael Bosnjak, Joanna Koßmann, and Bernd Weiß. 2023. "Panel Conditioning in a Probability-Based Longitudinal Study: A Comparison of Respondents with Different Levels of Survey Experience." Journal of Survey Statistics and Methodology online first. https://doi.org/10.1093/jssam/smad004.
- Kraemer, Fabienne, Henning Silber, Bella Struminskaya, Matthias Sand, Michael Bosnjak, Joanna Koßmann, and Bernd Weiß. 2023. "Satisficing Response Behavior Across Time: Assessing Negative Panel Conditioning Using an Experimental Design with Six Repetitions." Survey Research Methods 17 (3): 269-300. https://doi.org/10.18148/srm/2023.v17i3.7986.
- Daikeler, Jessica, Leon Fröhling, Lukas Birkenmaier, Tobias Gummer, Clemens Lechner, Jan Schwalbach, Indira Sen, Henning Silber, Bernd Weiß, and Katrin Weller. 2024. "Assessing Data Quality in the Age of Digital Social Research with a focus on sensor data: A Systematic Review." WEB DATA OPP, Universitat Pompeu Fabra, Barcelona, 2024-03-18.
- Daikeler, Jessica, Joachim Piepenburg, and Bernd Weiß. 2024. "Do expensive social media ad groups pay off in the recruitment of a non-probabilistic panel?: A feasibility study on coverage indicators and recruitment costs of a non-probabilistic panel." General Online Research (GOR) 2024, Rheinische Fachhochschule Köln, 2024-02-21.
- Silber, Henning, Johannes Breuer, Barbara Felderer, Jessica Daikeler, Frederic Gerdon, Florian Keusch, Patrick Stammann, and Bernd Weiß. 2023. "A vignette study on acceptability norms and personal willingness to share digital trace data." CIPHER 2023, 2023-03-10.
- Bretschi, David, Jessica Daikeler, and Anna Neumann. 2023. "Does including internet users in the mail mode improve the data quality of a probability-based mixed-mode panel?" 25th General Online Research Conference (GOR), Universität Kassel, Nürnberg, 2023-09-20.
Our entire team looks forward to helping you. If you have any questions about our services, please do not hesitate to send us an e-mail. Our coordinator, Dr. Jessica Daikeler, will be happy to answer any specific questions you may have. Please send general inquiries to our central e-mail address. Thank you for your interest and for contacting us! We will get back to you as soon as possible.
Dr. Jessica Daikeler
Project coordinator
Jessica.daikeler(at)gesis(dot)org
General requests
kodaqs(at)gesis(dot)org
Funding
