Crowdsourced Data: Accuracy, Accessibility, Authority (CDAAA)

CDAAA explores the sociotechnical barriers libraries, archives, and museums face in integrating crowdsourced transcriptions to discovery systems. Using data from surveys, semi-structured interviews, data integration demonstrations, and user testing with people who use screen readers, we will produce individualized LAM Partner Reports, a summative white paper, and open-access journal articles.

Duration:
8/1/2022 - 7/31/2025

Principal Investigator(s):

• Victoria Van Hyning

Project Website:
https://github.com/VVH/CDAAA

Research Funder:

• Institute of Museum and Library Services

Total Award Amount:
$458,151

Research Areas:

• Accessibility and Inclusive Design
• Digital Humanities
• Information Justice, Human Rights, and Technology Ethics
• Library and Information Science
• Social Networks, Online Communities, and Social Media