KODAQS Data Quality Academy Certificate Program

Program Overview

The KODAQS Academy Certificate Program is a six-month online blended learning structured training, comprising approximately 120 hours of self-study and self-assessment learning. It aims to enable comprehensive skills to identify, foresee, diagnose, fix, and frame potential problems related to data management. The program relies on highly practical component, which include newly developed online courses for self-learning, regular online live events for interaction with lecturers and peers, as well as networking events with relevant data-producing institutions to learn about the actual practice of creating and working with high-quality data.

After successfully completing the program, participants can prove their qualification in the field of data quality by participating in the KODAQS Academy DataFest, organized in collaboration with DataFest Germany. For the first Academy cohort, a group of 15-20 participants is expected to enrol in the Certificate Program.

Key features of the KODAQS Academy Certificate Program

  • 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 allow you to invest time at your own pace and when it suits your schedule best.
  • Networking opportunities: Join an interdisciplinary and internationally visible place for researchers to network on data quality in the social sciences.

Target group

Our program is designed to equip early-career researchers from different disciplinary backgrounds using social science data with innovative tools and comprehensive training to promote quality-assured data handling.

Curriculum

The Certificate Program’s curriculum is clustered under six consecutive modules:
  1. Terms, concepts & frameworks of data quality.
  2. Indicators & metrics of data quality.
  3. Remedies & corrections for identified quality problems.
  4. Tools & workflows for procurement, linking, processing and evaluation of data.
  5. Academy Safari
  6. DataFest

Download here (200 kB) a detailed description of the Program curriculum and schedule.

Academy Learning Bites

The KODAQS certificate program also provides access to our Academy Learning Bites, which are additional optional online learning resources for self-study. Compared to the core courses, these are shorter, structured learning contents focused on more specific topics and skills.

Data Focal Points

The KODAQS Academy’s Data Focal Points play a relevant role in the configuration of the Certificate Program, as the curriculum is designed under a logic of “tracks” to deepen the training on the management of a desired type of data. The data focal points of the KODAQS Academy consist of the following types of data:

  • Survey data: Data collected using quantitative interviews and corresponding standardized instruments, such as cross-sectional surveys and longitudinal surveys.
  • Digital behavioral data: Data left behind as traces in the use of digital systems, such as text, image, and video data in social media, networks from online, interactions, browsing history, or smartphone usage data.
  • Linked survey data with digital behavioral data or administrative data and geodata: Survey data that has been linked at the aggregate or individual level with digital traces or data from official statistics or geospatial data.

Mark your Calendars

  • The Certificate Program will run from 21.11.24 to 06.06.25.
  • Academy Kick-off: November 21, 2024 at GESIS-Mannheim (on-site event).
  • KODAQS Datafest: March 28-30, 2025 at the Ludwig Maximilian University-Munich (on-site event).
  • Academy Safari: Spring 2025 (tbd, occurs within Germany).

Call for applications KODAQS Certificate Programme 2024-2025

***** Apply to our Certificate Program! *****

Do you think data quality gets more and more important and are eager to advance your data science skills? Join us and take the first step towards acquiring the best skills for data quality management in the social sciences! The six-month program will take place in an online blended-learning format from November 2024 to June 2025.

More information about the program and how to apply here!

Applications must be submitted by 15.09.24.

Notification of acceptance to the program will be communicated by the last week of September 2024 (at the latest).