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Page-Image Error in Large-Scale Digitization

dc.contributor.authorConway, Paul
dc.date.accessioned2013-08-12T02:04:00Z
dc.date.available2013-08-12T02:04:00Z
dc.date.issued2013-04-05
dc.identifier.urihttps://hdl.handle.net/2027.42/99521
dc.description.abstractThis paper presents and interprets data on digitization error gathered from four 1,000 volume random samples that represent the full range of source volumes digitized by Google and the Internet Archive over a six year period and deposited in the HathiTrust Digital Library. The paper summarizes the research method for the project and then presents summary findings on the distribution of page-image error. The findings suggest that the imperfection of digital surrogates is a transparent and nearly ubiquitous attribute of large-scale digitization and one that introduces new complexity in preservation repositories. The paper concludes with suggestions for further research.en_US
dc.description.sponsorshipInstitute for Museum and Library Servicesen_US
dc.language.isoen_USen_US
dc.publisherSociety for Imaging Science & Technologyen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectDigitization, Error Measurementen_US
dc.titlePage-Image Error in Large-Scale Digitizationen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/99521/1/C9 Conway Page-Image Error Archiving 2013.pdf
dc.identifier.sourceProceedings of IS&T Archiving 2013, Washington DCen_US
dc.owningcollnameInformation, School of (SI)


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