OSD2F: An Open-Source Data Donation Framework

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Datum
2022
Herausgeber:innen
Autor:innen
Araujo, Theo
Ausloos, Jef
van Atteveldt, Wouter
Loecherbach, Felicia
Moeller, Judith
Ohme, Jakob
Trilling, Damian
van de Velde, Bob
De Vreese, Claes H.
Welbers, Kasper
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Zusammenfassung

The digital traces that people leave through their use of various online platforms provide tremendous opportunities for studying human behavior. However, the collection of these data is hampered by legal, ethical, and technical challenges. We present a framework and tool for collecting these data through a data donation platform where consenting participants can securely submit their digital traces. This approach leverages recent developments in data rights that have given people more control over their own data, such as legislation that now mandates companies to make digital trace data available on request in a machine-readable format. By transparently requesting access to specific parts of this data for clearly communicated academic purposes, the data ownership and privacy of participants is respected, and researchers are less dependent on commercial organizations that store this data in proprietary archives. In this paper we outline the general design principles, the current state of the tool, and future development goals.

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Schlagwörter
digital trace data \ data donation \ digital platforms \ privacy
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Zitierform
Araujo, T., Ausloos, J., van Atteveldt, W., Loecherbach, F., Moeller, J., Ohme, J., Trilling, D., van de Velde, B., de Vreese, C., & Welbers, K. (2022). OSD2F: An Open-Source Data Donation Framework. Computational Communication Research, 4(2), 372–387. https://doi.org/10.5117/CCR2022.2.001.ARAU