Page-Image Error in Large-Scale Digitization
dc.contributor.author | Conway, Paul | |
dc.date.accessioned | 2013-08-12T02:04:00Z | |
dc.date.available | 2013-08-12T02:04:00Z | |
dc.date.issued | 2013-04-05 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/99521 | |
dc.description.abstract | This 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.sponsorship | Institute for Museum and Library Services | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Society for Imaging Science & Technology | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.subject | Digitization, Error Measurement | en_US |
dc.title | Page-Image Error in Large-Scale Digitization | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Information, School of | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/99521/1/C9 Conway Page-Image Error Archiving 2013.pdf | |
dc.identifier.source | Proceedings of IS&T Archiving 2013, Washington DC | en_US |
dc.owningcollname | Information, School of (SI) |
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