Welcome to the PEP projects page. Here you will find an overview of all projects (committed to) using PEP, in various stages of the project lifecycle. PEP in general is about privacy-friendly exchange of data for specific research purposes. The PEP methodology combines advanced encryption with distributed pseudonymisation, and distribution of trusted data with fine-grained access management. There are currently four projects using PEP technology, which are listed below.
PPP: Personalized Parkinson Project ("Parkinson Op Maat")
The first case study performed with the PEP technique is Personalized Parkinson Project, a large scale Parkison's Disease research project by the medical center from Radboud University, together with Verily (see their blog). This case study involves monitoring 650 patients over a period of two years using, amongst others, wearable devices. The data collected this way will be shared, in pseudonymised form, with top research institutes worldwide.
HBS: Healthy Brain Study
The Healthy Brain Study is the second project to adopt PEP technology for its data needs. The goal of the study is to discover how the brain works and how the brain effects our daily lives. This is a unique, long-term study carried out by Radboud University, Radboudumc and the Max Planck Institute for Psycholinguistics. The study aims to monitor and test a thousand thirty to forty-year-old volunteers from Nijmegen and the surrounding area, selecting people in their thirties because their brains are no longer developing whilst the aging process has yet to start.
OpenPlanet, an accessible digital environment for entrepreneurs and organizations in health, agriculture and food, is the third project to incorporate PEP technology. It is a secure data & application environment in which data is collected, analyzed and shared. The platform consists of applications for data collection (sensors, apps, links with various data sources), data connectivity (sensor network, digital infrastructure), data storage and analysis (AI, digital twins), a marketplace for algorithms and applications for action perspective, support and feedback to end-users (apps, dashboards). OpenPlanet is a collaborative project of OnePlanet Research Center, Orikami, IVIDO, JoinData, and SIDN.
NOLAI: National Education Lab AI ("Nationaal Onderwijslab AI")
NOLAI is a collaborative, ten year effort between schools, scientists, and business partners that aims to develop intelligent technology to improve the quality of primary and secondary education. PEP technology will be used to ensure safe storage and exchange of the personal educational data of students, as well as the algorithmic and scientific data generated by the projects. Their website will reflect these efforts as they progress. Through these projects, NOLAI will give insight in the pedagogical, societal, and social consequences of using intelligent technology in education.