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KODAQS Data Quality Academy Certificate Program

With the Certificate Program the KODAQS Academy established an interactive and blended learning approach for teaching data quality skills in the social sciences. The program targets researchers and practitioners working with survey data, digital behavioral data, and linked data (e.g. surveys linked with geodata). With the recent rise of AI and large language models, a further focus is placed on learning how AI affects data and can be leveraged to improve research methodologies.

Key Features

  • Expert instructors: Learn from leading academics in the field
  • Hands-on learning: Practical sessions and hands-on projects to apply your knowledge
  • Flexibility of learning: Blended-learning formats that allow you learn when it suits your schedule best
  • Networking opportunities: On-site events to network and meet experts in the field of data quality

Applications

We are accepting applications for the KODAQS Academy Certificate Program 2026! The program starts in March 2026, the application deadline is 8 Februrary 2026. For futher information and to apply go to our Call for Applications. 

Goal

  • Gain skills to identify, foresee, diagnose, fix, and frame potential problems related to data management
  • Access innovative tools and comprehensive training to promote quality-assured data handling 

Program Structure

  • Six-month structured training
  • Approximately 120 hours of blended online learning and self-assessment
  • Weekly online touchpoints for interaction with lecturers and peers
  • Networking events at relevant data-producing institutions

Program Content

  • Terms, concepts & frameworks of data quality
  • Indicators & metrics of data quality
  • Remedies & corrections for identified quality problems
  • Tools & workflows for procuring, linking, processing and evaluating data

Requirements

  • Doctoral student or a postdoctoral researcher
  • Prior experience in conducting research or familiarity with survey methodology
  • Basic understanding of statistics and data analysis and knowledge of statistical software (e.g. R, Python) 

Choose Your Data Track

The certificate program provides a broad overview of data quality terms, concepts, and frameworks before delving deeper into tools and workflows for specific data types. Participants can choose which data type they want to focus on.

Survey Data: Data collected using quantitative interviews and corresponding standardized instruments, such as cross-sectional or longitudinal surveys.

Digital Behavioral Data: Data traces from digital systems, such as text or image data from social media, browsing history, or smartphone use.

Linked Data: Survey data that has been linked at aggregate or individual level with digital traces or data from official statistics or geospatial data. 

First cohort of the Certificate Program

Second cohort of the Certificate Program

Contact: kodaqsacademy(at)gesis(dot)org or connect with us on Linkedin for updates.

Join us and take the first step towards acquiring the best skills for data quality management in the social sciences!

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KODAQS

kodaqs[at]gesis•org