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In the projects the students are given the opportunity to deal with their own data. They are also made aware of their own data: Through the exemplary analysis, they learn something about the basic functions of the systems.
DataSkop provides a technical framework that simplifies many of the repetitive steps required in a data donation project so that the data donation method can be deployed with minimal effort and as cost-effectively as possible. For now, DataSkop runs on desktop and laptop computers, but not on smartphones and tablets.
DataSkop not only allows users to donate data to projects they want to support, but they can also use DataSkop to explore and analyze the data they want to donate themselves. This gives them a better understanding of exactly what they are helping with when they donate data. They also learn what traces they leave behind when they use digital offerings and what makes the data generated in the process so valuable and interesting.

Starting in the fall of 2021, DataSkop will offer learning scenarios for in-school and out-of-school educational settings in addition to the actual data donation. In addition, DataSkop is trying out how the data it collects can be reused for further research while maintaining appropriate privacy protections in the spirit of a data trust.
From 2022, the open-source platform DataSkop will also be open to other research institutions, civil society organizations, and editorial offices, which can present their respective data donation projects there and acquire users willing to donate. With each new project, the DataSkop community grows.

Level of Education: Higher education

Lead Organisation: European New School of Digital Studies (Europe University Viadrina)

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