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Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing

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dc.contributor.authorShilton, Katie
dc.contributor.authorBurke, Jeffrey A.
dc.contributor.authorEstrin, Deborah
dc.contributor.authorGovindan, Ramesh
dc.contributor.authorHansen, Mark
dc.contributor.authorKang, Jerry
dc.contributor.authorMun, Min
dc.contributor.departmentUniversity of California - Los Angeles
dc.contributor.departmentUniversity of California - Los Angeles
dc.contributor.departmentUniversity of California - Los Angeles
dc.contributor.departmentUniversity of Southern California
dc.contributor.departmentUniversity of California - Los Angeles
dc.contributor.departmentUniversity of California - Los Angeles
dc.contributor.departmentUniversity of California - Los Angeles
dc.coverage.latitude34.0709981
dc.coverage.longitude-118.4411358
dc.date2023-09-22T21:40:21.000
dc.date.accessioned2024-04-26T16:40:49Z
dc.date.available2024-04-26T16:40:49Z
dc.date.issued2009-09-26
dc.description.abstractFor decades, the Codes of Fair Information Practice have served as a model for data privacy, protecting personal information collected by governments and corporations. But professional data management standards such as the Codes of Fair Information Practice do not take into account a world of distributed data collection, nor the realities of data mining and easy, almost uncontrolled, dissemination. Emerging models of information gathering create an environment where recording devices, deployed by individuals rather than organizations, disrupt expected flows of information in both public and private spaces. We suggest expanding the Codes of Fair Information Practice to protect privacy in this new data reality. An adapted understanding of the Codes of Fair Information Practice can promote individuals’ engagement with their own data, and apply not only to governments and corporations, but software developers creating the data collection programs of the 21st century. To support user participation in regulating sharing and disclosure, we discuss three foundational design principles: primacy of participants, data legibility, and engagement of participants throughout the data life cycle. We also discuss social changes that will need to accompany these design principles, including engagement of groups and appeal to the public sphere, increasing transparency of services through voluntary or regulated labeling, and securing a legal privilege for raw location data.
dc.identifier.citationShilton, Katie, Burke, J., Estrin, D., Govindan, R., and Kang, J. Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing. <em>Proceedings of the 37th Research Conference on Communication, Information and Internet Policy (TPRC)</em>. (Arlington, VA, 25-27 September 2009).
dc.identifier.urihttps://hdl.handle.net/20.500.14394/23609
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1356&amp;context=esence&amp;unstamped=1
dc.rightsThis material is based upon work supported by the National Science Foundation under grant no. 0832873.
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/
dc.source.statuspublished
dc.subjectpersonal data stream
dc.subjectparticipatory privacy
dc.subjectmobile personal setting
dc.subjectCodes of Fair Information Practice
dc.subjectdata privacy
dc.subjectLibrary and Information Science
dc.subjectScience and Technology Studies
dc.subjectSocial and Behavioral Sciences
dc.titleDesigning the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing
dc.typeconfpaper
dc.typearticle
digcom.contributor.authorShilton, Katie
digcom.contributor.authorBurke, Jeffrey A.
digcom.contributor.authorEstrin, Deborah
digcom.contributor.authorGovindan, Ramesh
digcom.contributor.authorHansen, Mark
digcom.contributor.authorKang, Jerry
digcom.contributor.authorMun, Min
digcom.identifieresence/357
digcom.identifier.contextkey1569207
digcom.identifier.submissionpathesence/357
dspace.entity.typePublication
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