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Accounting for Privacy in Citizen Science: Ethical Research in a Context of Openness

Published: 25 February 2017 Publication History

Abstract

In citizen science, volunteers collect and share data with researchers, other volunteers, and the public at large. Data shared in citizen science includes information on volunteer location or other sensitive personal information; yet, volunteers do not typically express privacy concerns. This study uses the framework of contextual integrity to understand privacy accounting in the context of citizen science, by analyzing contextual variables including roles; information types; data flows and transmission principles; and, uses, norms, and values. Findings show that uses, norms, and values-including core values shared by researchers and public volunteers, and the motivations of individual volunteers' have a significant impact on privacy accounting. Overall, citizen science volunteers and practitioners share and promote openness and data sharing over protecting privacy. Studying the context of citizen science offers an example of contextually-appropriate data sharing that can inform broader questions about research ethics in an age of pervasive data. Based on these findings, this paper offers implications for designing data and information flows and supporting technologies in public and voluntary data sharing projects.

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    cover image ACM Conferences
    CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
    February 2017
    2556 pages
    ISBN:9781450343350
    DOI:10.1145/2998181
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    Published: 25 February 2017

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    Author Tags

    1. citizen science
    2. contextual integrity
    3. crowdsourcing
    4. digital volunteers
    5. open data
    6. privacy
    7. research ethics

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    February 25 - March 1, 2017
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