Competence Center Data Quality in the Social Sciences - KODAQS
Our Data Quality Services
Data Quality Academy
Digital and hybrid learning opportunities for the quality-assured handling of social science data.
Data Quality Toolbox
Tools to evaluate and improve data quality, including analysis codes to calculate key quality indicators with accompanying learning and consulting services.
Guest Researchers
Program for guest stays at KODAQS to explore own research questions pertaining to data quality together with the KODAQS team.
The Foundation of Our Work
Research on the (further) development of indicators for data quality of social science data (survey data, digital behavioral data, and linked data) is the foundation of our work. We use the newest insights to develop and continuously update our services: the Data Quality Academy, the Data Quality Toolbox, and our consulting services. Through events such as DataFests and the Guest Researcher Program, researchers can deepen and apply their knowledge.
About Us
A team of ten researchers from GESIS, the University of Mannheim and the LMU Munich work for KODAQS. 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.
Further Information
16 December 2025: KODAQS Academy Certificate Program 2026 open for applications
13-14 November 2025: KODAQS Workshop Linking Data through Location Tools, Workflows, and Quality Assurance of Geospatial Data Integration
27 October 2025: KODAQS @ Leibniz Open Science Day 2025 in Berlin
16 October 2025: Start of the KODAQS Meet the Experts Talks: Unlocking Data Quality with KODAQS: Smart Tools for Better Social Science Data
26 September 2025: Successful Kick-off Event of the second cohort of the KODAQS Academy Certificate Program
13 September 2025: KODAQS Data Quality Toolbox Workshop as part of the Teaching and Learning Conference of the American Political Science Association 2025 in Vancouver, Canada
1 September 2025: Interview in planung&analyse with Jessica Daikeler on data quality and KODAQS
27-28 August 2025: KODAQS Workshop: Intrinsic/Extrinsic - Transferring and Developing Quality Indicators for Online Platform Data @ GESIS Köln
21 July 2025: KODAQS Academy Certificate Programm jetzt offen für Anmeldungen
25 June 2025: KODAQS Academy Programm "Train-the-Trainer for Data Quality Teaching" open for applications
12-23 May 2025: Guest researchers Camilla Salvatore and Angelo Moretti from Utrecht Univerity at KODAQS
31 March -2 April 2025: KODAQS at the General Online Research Konferenz in Berlin (GOR 2025)
28-30 March 2025: KODAQS at DataFest Germany 2025
21 March 2025: Data Quality Academy Zertifikatsprogramm läuft seit 4 Monaten
19 March 2025: KODAQS Data Quality Safari at the IAB
18-19 February: RDA Deutschland Conference 2025
10-14 February 2025: KODAQS at the Love Data Week 2025 at Cologne University
13 December 2024: Seminar on Response Quality in Surveys at the University of Michigan (Fabienne Krämer and Henning Silber)
11-12 December 2024: Online-Workshop “Tools – Indicators – Metrics: Data Quality in Computational Social Science”
28 November 2024: Earth Observation and Survey Data: A Data Quality Roundtable
21 November 2024: Kick-Off - KODAQS Data Quality Academy Certificate Program
9-11 October 2024: KODAQS auf der Konferenz ''Computational Sociology: Methodological Challenges for Research and Teaching'' an der Universität Bremen
25 July 2024: Call for Applications - für die erste Kohorte des KODAQS Academy Zertifikatsprogramm
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: Brückenschlag zwischen Alt und Neu: Review zur Datenqualität in der digitalen Sozialforschung
1 April 2024: Start of the first round of the KODAQS Guest Researcher Program
29 February 2024: KODAQS kick-off meeting at GESIS
15 November 2023: KODAQS Competence Center Data Quality in the Social Sciences is established
- von der Heyde, Leah, Anna-Carolina Haensch, Bernd Weiß, and Jessica Daikeler. 2025 (Forthcoming). "Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation." Survey Research Methods.
- Peters, Yannik, and Caja Thimm. 2025 (Forthcoming). "Microblogging." In Elgar Encyclopedia of Political Communication, edited by Alessandro Nai, Max Grömping, and Dominique Wirz, Edward Elgar Publishing. https://www.researchgate.net/publication/383910006_Microblogging_Preprint_Elgar_Encyclopedia_of_Political_Communication.
- Anastasiadis, Mario, Yannik Peters, and Caja Thimm. 2025 (Forthcoming). "The Digitalization of Society, Democracy and the Public Sphere - An Introduction to the Field." In The Digital Society - Empirical Perspectives on the Digital Transformation of the Democratic Public Sphere, edited by Mario Anastasiadis, Yannik Peters, and Caja Thimm, Wiesbaden: Springer Nature.
- Kobiella, C., Flores López, Y. S., Waltenberger, F., Draxler, F. and Schmidt, A. (2024). “If the machine is as good as me, then what use am I?” – How the use of ChatGPT changes young professionals' perception of productivity and accomplishment. In , CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems (S. 1–16). , ACM: New York, NY.
- Weingärtner, H., Windl, M., Chuang, L. L. and Draxler, F. (2024). Useful but distracting: viewer experience with keyword highlights and time-synchronization in captions for language learning. In , MUM '24: Proceedings of MUM 2024 : the 23rd International Conference on Mobile and Ubiquitous Multimedia : December 1st-4th Stockholm, Sweden (S. 235–248). , Association for Computing Machinery: New York, NY.
- Silber, Henning, Johannes Breuer, Barbara Felderer, Frederic Gerdon, Patrick Stammann, Jessica Daikeler, Florian Keusch, and Bernd Weiß. 2024. "Asking for Traces: A Vignette Study on Acceptability Norms and Personal Willingness to Donate Digital Trace Data." Social Science Computer Review. online first. doi: https://doi.org/10.1177/08944393241305776.
- 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.
- von der Heyde, Leah, Anna-Carolina Haensch, Bernd Weiß, and Jessica Daikeler. 2025. "Ain’t Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation." NLPOR, Montreal, Canada, 2025-10-10.
- Daikeler, Jessica. 2025. “Improving Data Quality: Tools, Learning Resources, Research Infrastructure.” ZALF Müncheberg Workshop „How to properly manage socio economic agricultural data - Planning, quality checks, anonymization and finally publishing”, 2025-10-07.
- Daikeler, Jessica, and Yannik Peters. 2024. "The KODAQS project – Assessing Data Quality in the Social Sciences." Tools – Indicators – Metrics: Data Quality in Computational Social Science, GESIS - Leibniz-Institut für Sozialwissenschaften, Köln, 2024-12-11.
- Thimm, Caja, Patrick Nehls, and Yannik Peters. 2024. "Disinformation during the Corona Pandemic: Conspiracy Narratives and Counter Strategies on Instagram." International Conference on Social Media & Society, London College of Communication, London, 2024-07-16.
- Kraemer, Fabienne, Peter Lugtig, Bella Struminskaya, Henning Silber, Bernd Weiß, and Michael Bosnjak. 2024. "Monitoring Attitudes Over Time - Real Change or the Result of Repeated Interviewing?" Panel Survey Methods Workshop 2024, Utrecht University, 2024-07-12.
- Peters, Yannik. 2024. "#EU – Analyzing the Mediatization of the European Public Sphere Using Structural Topic Modeling." ICA Regional Conference “Human Tech Transition: Crises in Mediatized Politics, Society & Economy”, University of Warsaw, Warsaw, 2024-03-15.
- Kraemer, Fabienne. 2024. "Socially Desirable Responding in Panel Studies - Does Repeated Interviewing Affect Answers to Sensitive Behavioral Questions?" GOR 24: General Online Research Conference, 2024-02-23.
- 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
For updates visit
