KODAQS Academy

The KODAQS Data Quality Academy aims to create an innovative and unique learning opportunity for the social sciences under an online hybrid and blended learning structured training. This offer is aimed at researchers who want to expand their data science skills with a focus on data quality and the quality-oriented use of social science data. As a learning opportunity, the Academy provides participants with the necessary theoretical and, above all, practical data science skills to assess the quality of different types of data and to use this data in a quality-oriented manner to conduct reliable analysis.

The KODAQS Academy comprises three main components:

  • Certificate Program: a six-month, online blended learning structured training consisting of synchronous and asynchronous sessions plus networking events with KODAQS lecturers and partner institutions. 
  • Individual Training: a self-paced training approach where participants can use the asynchronous learning resources of the Certificate Programme in a self-directed and flexible manner. An online support forum is available to support the learning process. 
  • Train-the-Trainer: open educational resources to teach methods for adequate knowledge transfer of data quality into university teaching according to the train-the-trainer principle. 

KODAQS Academy comprises three main learning programmes

Certificate Programme

a six-month, online blended learning structured training consisting of synchronous and asynchronous sessions plus networking events with KODAQS lecturers and partner institutions.

Learn more

Individual Training

a self-paced training approach where participants can use the asynchronous learning resources of the Certificate Programme in a self-directed and flexible manner. An online support forum is available to support the learning process.

Learn more

Train-the-Trainer

open educational resources to teach methods for adequate knowledge transfer of data quality into university teaching according to the train-the-trainer principle.

Learn more