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Past perfect: prospects for the future of digital memory

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TitleInfo
Title
Past perfect: prospects for the future of digital memory
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Jolles
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Jen
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1993-
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Jen Jolles
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author
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Brown
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James J.
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James J Brown
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Advisory Committee
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chair
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Sayre
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Jillian J.
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Jillian J Sayre
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Advisory Committee
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internal member
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Rutgers University
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degree grantor
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Camden Graduate School
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school
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theses
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2019
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2019-05
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2019
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English
Abstract
This project explores two digital memory technologies: digital memory banks, particularly the Hurricane Digital Memory Bank (HDMB), and Documenting the Now (DocNow), a tool that allows archivists and researchers the ability to collect, analyze, and preserve Twitter messages and other web resources. Ultimately, this project works to develop an understanding of how these specific tools approach and “do” memory work. Both tools animate memory work in distinct, and particular ways, thereby demonstrating how memory both produces and enacts relations across time and space. The primary method of this project is the rhetorical analysis of digital memory practices, and the project works to demonstrate how practices of memory have become part and parcel of digital media technologies.
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English
Subject (authority = ETD-LCSH)
Topic
Digital preservation
Subject (authority = ETD-LCSH)
Topic
Episodic memory
Subject (authority = ETD-LCSH)
Topic
Hurricane Katrina, 2005 -- Archival resources
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Rutgers University Electronic Theses and Dissertations
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Supplementary File: Archives Endure Poster
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1 online resource (vii, 51 pages) : illustrations
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M.A.
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Includes bibliographical references
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Includes vita
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Camden Graduate School Electronic Theses and Dissertations
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rucore10005600001
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doi:10.7282/t3-rp15-0157
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ETD graduate
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
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Jolles
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Jen
Role
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Permission or license
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2019-05-09 10:25:36
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Jen Jolles
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Rutgers University. Camden Graduate School
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Type
Embargo
DateTime (encoding = w3cdtf); (point = start); (qualifier = exact)
2020-09-17
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2021-05-31
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 31, 2021.
Copyright
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Copyright protected
Availability
Status
Open
Reason
Permission or license
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