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Bias and Inclusivity in Metadata: Awareness and Approaches
Date
2019-03-20
Main contributor
Hardesty, Juliet
Summary
This presentation is a step toward understanding the problem of bias in metadata and how that impacts inclusivity in the research process. Original description provided for digital collection discovery and access as well as controlled vocabularies commonly used for subject headings (such as Library of Congress Subject Headings) have inherent biases which present challenges for researchers discovering and engaging with these collections, particularly researchers from underrepresented or historically marginalized populations. We’ll review work in this area to date and discuss possible approaches for where to go next to improve description and the academic research experience.
Publisher
Indiana University Digital Collections Services
Collection
Digital Library Brown Bag Series
Unit
IUScholarWorks Repository
Related Item
IUScholarWorks Record