Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research.
Dr. Fadi Hirzalla took part in the 9th International QCA Expert Workshop on 14-15 December 2021 at ETH Zürich where he shared his experiences with creating a MOOC on Qualitative comparative analysis (QCA).
People can be asked to share information about their daily life through their smartphones. For instance, users can be asked to fill out micro-questionnaires or enable GPS tracking. Such data collection methods are called Experience Sampling Methods (ESM).
Loes Keijsers, Anne Bülow and Savannah Boele are hosting a workshop on this subject: 'Experience Sampling: Opening the black box of daily life'.
Teachers Eduard Klapwijk and Nils Arlinghaus have created a new setup for our 'Responsible research data management' course.