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dc.contributor.author Hardesty, Juliet
dc.date.accessioned 2019-03-28T13:36:29Z
dc.date.available 2019-03-28T13:36:29Z
dc.date.issued 2019-03-20
dc.identifier.uri https://hdl.handle.net/2022/22880
dc.description.abstract 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. en
dc.language.iso en en
dc.publisher Indiana University Digital Collections Services en
dc.relation.isversionof Click on the link below to play this video.
dc.relation.uri https://purl.dlib.indiana.edu/iudl/media/w22v141m44
dc.subject Metadata en
dc.subject Bias en
dc.subject Controlled vocabulary en
dc.subject Subject headings en
dc.title Bias and Inclusivity in Metadata: Awareness and Approaches en
dc.type Presentation en


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