News Release

Using citizens' data securely in research: COVID-19 data donation projects show how it can be done

Peer-Reviewed Publication

Technische Universität Dresden

An increasing number of people are using wellness and health apps that measure, interpret and store a variety of parameters such as activity, metabolites, electrical signals, blood pressure and oxygenation. This data is not just for personal interest, it is also of great importance for medical research. The analysis of such citizen-gathered health data in conjunction with clinical data could help to improve understanding of diseases, their development and early diagnosis. It is also an important basis for research, especially for optimizing predictions based on deep learning and other artificial intelligence methods. 

During the COVID-19 pandemic, several data donation projects were initiated in Germany, the UK and the US. These projects showed that citizens were willing to participate and share their data. The prerequisite was that they were able to decide for themselves when to share which data and were given the opportunity for consent withdrawal and to stop participation at any time. 

“It is not ethically acceptable or politically sustainable to harvest more and more personal data from citizens by default with every new smart product – especially without asking for their consent first,” says Professor Stephen Gilbert, co-author of the article. As a solution the researchers propose the use of a trusted and secure externally provided consent platform. This would allow users to understand with whom, where and for what purpose they are sharing their health data. Active engagement further increases the likelihood that data will be shared over a longer period of time. Researchers' positive and instructive experiences with voluntary data donation during the COVID-19 pandemic should now be used to find long-term solutions. “In the future, the use of personal health data for research will only work if all participants are fully aware and consenting and can also withdraw their decision at any time. Our work has shown that citizens understand the benefits they can bring to society through volunteering their health and wellness data,” says Professor Dirk Brockmann, Director of the Center Synergy of Systems at TU Dresden. 

The article was created in collaboration between researchers from the EKFZ for Digital Health, the Center Synergy of Systems (both TU Dresden/Germany), the Robert Koch-Institut (RKI, Berlin/Germany) and the Scripps Research Institute (La Jolla/USA).  

Stephen Gilbert, Katie Baca-Motes, Giorgio Quer, Marc Wiedermann, Dirk Brockmann: Citizen data sovereignty is key to wearables and wellness data reuse for the common good; npj Digital Medicine, 2024; doi: 

Else Kröner Fresenius Center (EKFZ) for Digital Health
The EKFZ for Digital Health at TU Dresden was established in September 2019. It receives funding of around 40 million euros from the Else Kröner Fresenius Foundation for a period of ten years. The center focuses its research activities on innovative, medical and digital technologies at the direct interface with patients. The aim here is to fully exploit the potential of digitization in medicine to significantly and sustainably improve healthcare, medical research and clinical practice. 

Center for Synergy of Systems (SynoSys)
The Center Synergy of Systems (SynoSys) develops transdisciplinary approaches and methods in the fields of network science, data science, digital science and citizen science with the aim of conducting integrative research into complex phenomena at the interfaces between biomedicine, social sciences and life sciences. The focus is on dynamic phenomena such as pandemics, chronic diseases, mental health, planetary health, and the emergence of cooperative systems in biology and society, which cannot be understood solely through individual, traditional sub-disciplines, but only through lateral perspectives and integrative methods from complexity research. As a department of the Center for Interdisciplinary Digital Sciences (CIDS), SynoSys is a node in the network of transdisciplinary research. 

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