Adoption and diffusion of Encoded Archival Description

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dc.contributor.author Yakel, Elizabeth en_US
dc.contributor.author Kim, Jihyun en_US
dc.date.accessioned 2006-12-07T16:53:19Z
dc.date.available 2006-12-07T16:53:19Z
dc.date.issued 2005-11 en_US
dc.identifier.citation Yakel, Elizabeth; Kim, Jihyun (2005)."Adoption and diffusion of Encoded Archival Description." Journal of the American Society for Information Science and Technology 56(13): 1427-1437. <http://hdl.handle.net/2027.42/48777> en_US
dc.identifier.issn 1532-2882 en_US
dc.identifier.issn 1532-2890 en_US
dc.identifier.uri http://hdl.handle.net/2027.42/48777
dc.description.abstract In this article, findings from a study on the diffusion and adoption of Encoded Archival Description (EAD) within the U.S. archival community are reported. Using E. M. Rogers' (1995) theory of the diffusion of innovations as a theoretical framework, the authors surveyed 399 archives and manuscript repositories that sent participants to EAD workshops from 1993–2002. Their findings indicated that EAD diffusion and adoption are complex phenomena. While the diffusion pattern mirrored that of MAchine-Readable Cataloging (MARC), overall adoption was slow. Only 42% of the survey respondents utilized EAD in their descriptive programs. Critical factors inhibiting adoption include the small staff size of many repositories, the lack of standardization in archival descriptive practices, a multiplicity of existing archival access tools, insufficient institutional infrastructure, and difficulty in maintaining expertise. en_US
dc.format.extent 216467 bytes
dc.format.extent 3118 bytes
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.language.iso en_US
dc.publisher Wiley Subscription Services, Inc., A Wiley Company en_US
dc.subject.other Computer Science en_US
dc.title Adoption and diffusion of Encoded Archival Description en_US
dc.type Article en_US
dc.rights.robots IndexNoFollow en_US
dc.subject.hlbsecondlevel Information and Library Science en_US
dc.subject.hlbtoplevel Social Sciences en_US
dc.description.peerreviewed Peer Reviewed en_US
dc.contributor.affiliationum School of Information, University of Michigan, 550 East University, Ann Arbor, MI 48109-1092 en_US
dc.contributor.affiliationum School of Information, University of Michigan, 550 East University, Ann Arbor, MI 48109-1092 en_US
dc.description.bitstreamurl http://deepblue.lib.umich.edu/bitstream/2027.42/48777/1/20236_ftp.pdf en_US
dc.identifier.doi http://dx.doi.org/10.1002/asi.20236 en_US
dc.identifier.source Journal of the American Society for Information Science and Technology en_US
dc.owningcollname Interdisciplinary and Peer-Reviewed
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