GESIS Training Courses
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Scientific Coordination

Anna K. Schwickerath

Life Hacks for Quantitative Research Methods Lecturers – Data specialist training and course materials for your classroom

Lecturer(s):
Dr. Kristi Winters, Anna K. Schwickerath

Location: Cologne / Course language: Englisch

About the lecturer - Dr. Kristi Winters

About the lecturer - Anna K. Schwickerath

Course description

Life Hacks for Quantitative Research Methods Lecturers - Data specialist training and course materials for your classroom
 
Please note: this one-day free, in-person event is limited to 15 people. Recordings of the lectures are being made available online after the event.
 
With the emergence of open science, big data, and new EU laws on data privacy and data protection, it can be difficult for social science research methods lecturers to keep up with it all. As part of the EU-funded SERISS project (H2020 grant number: 654221) and the CESSDA Training Working Group at GESIS data specialists are putting on a train-the-trainer course for social science research methods lecturers, to provide you with the latest information and course materials for use in your classroom. The course content is designed for both undergraduate and post-graduate students.
 
In this 1-day train-the-trainer course, our experts will give short lectures on a topic (e.g. FAIR data principles), identify the main points students should take away, and provide lecturers with handouts and exercises to use (or adapt for use) in their classrooms. Participants will receive digital copies of the lecture notes, handouts and related materials for their own use (under Creative Commons Attribution licenses).
 
The first half of the day will focus on theoretical aspects, including touching on new ethical and legal considerations post-General Data Protection Regulation, the concept of Open Science, and the FAIR principles. The second half of the workshop will examine practical case studies in large-scale cross-national data harmonisation and documentation, the European Values Survey including introduction to free software that digitizes variable harmonisation and documentation work and get to preview a newly built website that will archive the documentation of such work.


Keywords



Learning objectives

By the end of the course participants will
  • know about the idea of FAIR Data and how to produce it;
  • have gained knowledge of ethical and legal pre-conditions for data harmonisation;
  • have received instructions on how to use the CharmStats software in order to document their own harmonisation projects;´
  • have gained knowledge of the Variable Harmonisation Hub and its functionalities


Prerequisites

The course assumes attendees are teaching or will teach undergraduate and graduate students in research methods, and/or those who advise Masters and PhD students.


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