Towards FAIR Patient Reported Outcome: Application of the Interoperability Principle for Mobile Pandemic Apps. - Michael Rusongoza Muzoora; Marco Schaarschmidt; Dagmar Krefting; Johannes Oehm; Sarah Riepenhausen; Sylvia Thun (EFMI-STC, 2021)

Motivating Developers to Use Interoperable Standards for Data in Pandemic Health Apps. - Michael Rusongoza Muzoora; Nabil El-Badawi; Christian Elsner; Andrea Essenwanger; Peter Gocke; Dagmar Krefting; Rasim Atakan Poyraz; Rüdiger Pryss; Ulrich Sax; Sylvia Thun (MIE, 2021)

How to Assess FAIRness of Your Data - A Summary of Testing Two FAIR Validators. - Caroline Stellmach; Michael Rusongoza Muzoora (MedInfo, 2023)

Insights into the FAIRness of the German Network University Medicine: A Survey. - Lea Michaelis; Rasim Atakan Poyraz; Michael Rusongoza Muzoora; Kerstin Gierend; Alexander Bartschke; Christoph Dieterich; Tim Johann; Dagmar Krefting; Dagmar Waltemath; Sylvia Thun (MIE, 2023)

Experiences from compiling a FAIR survey in the German Network University Medicine. - Lea Michaelis; Rasim Atakan Poyraz; Michael Rusongoza Muzoora; Kerstin Gierend; Alexander Bartschke; Dagmar Waltemath; Sylvia Thun (SWAT4HCLS, 2023)

Applying the RDA Data Maturity Model on the Core Dataset of the German Medical Informatics Initiative. - Lea Michaelis; Esther Thea Inau; Michael Rusongoza Muzoora; Judith A. H. Wodke; Thomas Ganslandt; Sylvia Thun; Dagmar Waltemath (SWAT4HCLS, 2024)