Abstract
Data are the infrastructure of science, and for some scientific studies, a vast amount of data might be needed. One way to obtain such data is through Citizen Science (CS), a research technique that enlists the public in gathering data. Although citizens themselves can be the source of such data, most of the citizens’ participation in CS so far focused on providing data concerning almost everything except themselves. In particular, citizens can participate as data donors (Citizens as Data Donors (CaDD)), where they allow professionals to have access to their personal data for the purposes of the public good. However, personal data cannot be used without citizens’ consent as such data are protected by various privacy laws. In this paper, a method for maximizing citizens’ participation as data donors by understanding and addressing their privacy requirements taking into consideration the perceived benefits and ease of the donation behavior is proposed. The method is illustrated with an example concerning an Ambient-Assisted Living (AAL) System.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
A detailed information about the systematic literature review can be found at [7].
References
Phillips, T., et al.: Citizen science: a developing tool for expanding science knowledge and scientific literacy. Bioscience 59(11), 977–984 (2009)
Silvertown, J.: A new dawn for citizen science. Trends Ecol. Evol. 24(9), 467–471 (2009)
Krutzinna, J., Taddeo, M., Floridi, L.: Enabling posthumous medical data donation: an appeal for the ethical utilisation of personal health data. Sci. Eng. Ethics 25(5), 1357–1387 (2018). https://doi.org/10.1007/s11948-018-0067-8
European Parliament: GDBR - Regulation (EU) 2016/679 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC, vol. 59, pp. 1–88 (2016)
The health insurance portability and accountability act of 1996 (HIPAA), vol. 25, no. 1 (1996)
Gharib, M., Giorgini, P., Mylopoulos, J.: Towards an ontology for privacy requirements via a systematic literature review. In: Mayr, H.C., Guizzardi, G., Ma, H., Pastor, O. (eds.) ER 2017. LNCS, vol. 10650, pp. 193–208. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-69904-2_16
Gharib, M., Giorgini, P., Mylopoulos, J.: Ontologies for Privacy Requirements Engineering: A Systematic Literature Review. preprint arXiv:1611.10097 (2016)
Skatova, A., Ng, E., Goulding, J.: Data Donation: Sharing Personal Data for Public Good? Application of Digital Innovation, pp. 8–10, December 2014
Ajzen, I.: The Theory of Planned Behavior. Organizational Behavior & Human Decision Processes 50(2) (91) 179 (1991)
Prochaska, J., Colleen, R., Evers, K.: The Transtheoretical Model and Stages of Change. Jossey-Bass, San Francisco (2002)
Haklay, M.: Citizen science and volunteered geographic information: overview and typology of participation. In: Sui, D., Elwood, S., Goodchild, M. (eds.) Crowdsourcing Geographic Knowledge, pp. 105–122. Springer, Dordrecht (2013). https://doi.org/10.1007/978-94-007-4587-2_7
Sault, K.: Understanding organ donation attitudes and behaviour from a theory of planned behaviour perspective. University of Chester, pp. 1–28 (2011)
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (2008)
Ajzen, I.: Constructing a theory of planned behavior questionnaire. Technical report, Amherst, MA (2006)
Hunter, J., Alabri, A., Van Ingen, C.: Assessing the quality and trustworthiness of citizen science data. Concurr. Comput. Pract. Exp. 25(4), 454–466 (2013)
Yu, E.S.K.: Modelling strategic relationships for process. Ph.D. thesis, University of Toronto (1995)
Acknowledgment
The author would like to thank Prof. Raian Ali for his comments, advice and useful discussions.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Gharib, M. (2020). Citizens as Data Donors: Maximizing Participation Through Privacy Assurance and Behavioral Change. In: Garcia-Alfaro, J., Navarro-Arribas, G., Herrera-Joancomarti, J. (eds) Data Privacy Management, Cryptocurrencies and Blockchain Technology. DPM CBT 2020 2020. Lecture Notes in Computer Science(), vol 12484. Springer, Cham. https://doi.org/10.1007/978-3-030-66172-4_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-66172-4_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-66171-7
Online ISBN: 978-3-030-66172-4
eBook Packages: Computer ScienceComputer Science (R0)