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Articles by Tanya Clement
The AudiAnnotate Project: Four Case Studies in Publishing Annotations for Audio and Video
2022 Volume 16 Number 2 Abstract Access to audio collections is often restricted by institutions for copyright, privacy, and preservation reasons, but it is the lack of descriptive metadata and annotations that stands in the way of all levels of access and use. Libraries, archives, and museums (LAMs) often hold physical audio artifacts that are unmarked and lacking important identifiable information such as title, date, location, subject, participants, or context.
Dissonant Records
How archives obscure recorded media—and the case in favor of discovering them. Silence is not absence. It may be perceived as meaningless, or it may not be perceived at all, but it takes up space. In Dissonant Records, Tanya Clement makes the case for spoken word audio recordings within the archives. She explains why we tend to not use these audio recordings in research, what silences exist in the cultural record, and what difference it makes when we start to listen.
Review: The Mixtape Museum
Project The Mixtape Museum Project Director Regan Sommer McCoy, Columbia University Project URL https://mixtapemuseum.org/ Project Reviewer Tanya Clement, University of Texas at Austin Regan Sommer McCoy The Mixtape Museum (MXM) is an archive project dedicated to collecting, preserving, and sharing knowledge related to mixtape history. MXM advances public understanding and appreciation of the art, history, technique, and impact mixtapes have made worldwide.
Data Cultures, Culture as Data - Special Issue of Cultural Analytics
Clusters: Data, Infrastructure Article DOI: 10.22148/16.035 Journal ISSN: 2371-4549 Cite: Amelia Acker and Tanya Clement, "Data Cultures, Culture as Data - Special Issue of Cultural Analytics," Journal of Cultural Analytics. April 10, 2019. Data have become pervasive in research in the humanities and the social sciences. New areas, objects, and situations for study have developed; and new methods for working with data are shepherded by new epistemologies and (potential) paradigm shifts.
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