Local Standards for Anonymization Practices in Health, Wellness, Accessibility, and Aging Research at CHI

Honorable Mention
Privacy by Design & User ControlPrivacy Perception & Decision-MakingResearch Ethics & Open ScienceUniversity Professors & ResearchersHCI Researchers

When studying technologies pertaining to health, wellness, accessibility, and aging, researchers are often required to perform a balancing act between controlling and sharing sensitive data of the people in their studies and protecting the privacy of these participants. If the data can be anonymized and shared, it can boost the impact of the research by facilitating replication and extension. Despite anonymization, data reporting and sharing may lead to re-identification of participants, which can be particularly problematic when the research deals with sensitive topics, such as health. We analyzed 509 CHI papers in the domains of health, wellness, accessibility, and aging to examine data reporting and sharing practices. Our analysis revealed notable patterns and trends regarding the reporting of age, gender, participant types, sample sizes, methodology, ethical considerations, anonymization techniques, and data sharing. Based on our findings, we propose several suggestions for community standards and practices that could facilitate data reporting and sharing while limiting the privacy risks for study participants.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/chi/6885/2019

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
CHI
calendar_month
Year
2019
emoji_events
Award
Honorable Mention
group
Authors
5 authors
sell
Subtopics
Privacy by Design & User Control, Privacy Perception & Decision-Making, Research Ethics & Open Science
work
Professions
University Professors & Researchers, HCI Researchers
article
Content Status
Abstract only
hub
Related Papers
2 related papers