OSD2F: An open-source data donation framework

Theo Araujo; Jef Ausloos; Wouter van Atteveldt; Felicia Loecherbach; Judith Moeller; Jacob Ohme; Damian Trilling; Bob Van der Velde; Claes De Vreese; Kasper Welbers

doi:10.5117/ccr2022.2.001.arau

OSD2F: An open-source data donation framework

Theo Araujo, Jef Ausloos, Wouter van Atteveldt, Felicia Loecherbach, Judith Moeller, Jacob Ohme, Damian Trilling, Bob Van der Velde, Claes De Vreese, Kasper Welbers

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Pages (from-to)	372-387
Number of pages	16
Journal	Computational Communication Research
Volume	4
Issue number	2
Early online date	1 Oct 2022
DOIs	https://doi.org/10.5117/ccr2022.2.001.arau
Publication status	Published - Oct 2022

Funding

This work was supported by the RPA Communication and its Digital Communication Methods Lab (digicomlab.eu) at the University of Amsterdam. DT received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 947695) for his contribution. JM received funding from the Dutch Science Foundation (Grant number: VI.Veni.191S.089). JA received funding from the Dutch Science Foundation (Grant number: VI.Veni.201R.096).

Funders	Funder number
Digital Communication Methods Lab
Horizon 2020 Framework Programme	947695
European Research Council
Universiteit van Amsterdam
Nederlandse Organisatie voor Wetenschappelijk Onderzoek	VI.Veni.201R.096, VI.Veni.191S.089

Keywords

digital trace data
data donation
digital platforms
Privacy assistant

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.5117/ccr2022.2.001.arau

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Cite this

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title = "OSD2F: An open-source data donation framework",

abstract = "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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AU - Ausloos, Jef

AU - van Atteveldt, Wouter

AU - Loecherbach, Felicia

AU - Moeller, Judith

AU - Ohme, Jacob

AU - Trilling, Damian

AU - Van der Velde, Bob

AU - De Vreese, Claes

AU - Welbers, Kasper

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KW - digital trace data

KW - data donation

KW - digital platforms

KW - Privacy assistant

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OSD2F: An open-source data donation framework

Abstract

Funding

Keywords

UN SDGs

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