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Cited by 13Research Data Management PracticesEthics and Social Impacts of AIDigital Accessibility for Disabilities

Sharing Practices for Datasets Related to Accessibility and Aging

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Kamikubo, Rie, Dwivedi, Utkarsh, Kacorri, Hernisa·2021·Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility
DOI 10.1145/3441852.3471208PMC PMC8855358
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Abstract

Datasets sourced from people with disabilities and older adults play an important role in innovation, benchmarking, and mitigating bias for both assistive and inclusive AI-infused applications. However, they are scarce. We conduct a systematic review of 137 accessibility datasets manually located across different disciplines over the last 35 years. Our analysis highlights how researchers navigate tensions between benefits and risks in data collection and sharing. We uncover patterns in data collection purpose, terminology, sample size, data types, and data sharing practices across communities of focus. We conclude by critically reflecting on challenges and opportunities related to locating and sharing accessibility datasets calling for technical, legal, and institutional privacy frameworks that are more attuned to concerns from these communities.

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Cited by

Sorted by citations

Authors
Kamikubo, R., Dwivedi, U., & Kacorri, H.
Affiliations
University of Maryland, College Park (US)
Venue
Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility
Publisher
ACM
Published
2021-10-17
Volume
1
Pages
1-16
DOI
10.1145/3441852.3471208
PMC
PMC8855358
OpenAlex
W3195689867
Cited by
13
References
8
Citations by year
2025: 5 · 2024: 1 · 2023: 3 · 2022: 2 · 2021: 2
FWCI
1.66
Type
conference paper
Language
en
Open access
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
  • International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) (#90REGE0008)
Topics
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
Keywords
data sharing, people with disabilities, older adults, aging, assistive technology, inclusive AI, data collection ethics, data privacy, sample size

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