Notes on Operations: Cataloging E-Books and Vendor Records: A Case Study at the University of Illinois at Chicago.

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Title: Notes on Operations: Cataloging E-Books and Vendor Records: A Case Study at the University of Illinois at Chicago.
Authors: Martin, Kristin E.1 kmarti@uic.edu, Mundle, Kavita2 kavita@uic.edu
Source: Library Resources & Technical Services. Oct2010, Vol. 54 Issue 4, p227-237. 11p. 1 Chart.
Subject Terms: *Electronic books, *Academic libraries, Machine-readable bibliographic data, Cataloging of electronic books, Machine-readable bibliographic data formats
Company/Entity: University of Illinois at Chicago
Abstract: E-books have become a substantial part of many academic library collections. Catalog records for each e-book title enhance discovery by library users, but cataloging individual books may be impossible when large packages are purchased. Increasingly, libraries are relying on outside sources for their e-book catalog records, which may come from vendors or third-party record services and are frequently included in the price of a subscription. Rather than handling individual items, catalogers find themselves managing and manipulating large sets of catalog records. While dealing with the records in batch is the only practical way to provide access to the large sets, batch processing does bring about a new set of challenges. This paper will explore the challenges of managing Machine-Readable Cataloging (MARC) records for the Springer e-book collection at the University of Illinois at Chicago University Library. It discusses tools and methods to improve record quality while working in a consortial setting. It provides lessons learned, continuing challenges of working with vendor records, and some steps that might help other libraries expedite the process of getting vendor records into the catalog. [ABSTRACT FROM AUTHOR]
Copyright of Library Resources & Technical Services is the property of American Library Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Notes on Operations: Cataloging E-Books and Vendor Records: A Case Study at the University of Illinois at Chicago.
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  Data: <searchLink fieldCode="AR" term="%22Martin%2C+Kristin+E%2E%22">Martin, Kristin E.</searchLink><relatesTo>1</relatesTo><i> kmarti@uic.edu</i><br /><searchLink fieldCode="AR" term="%22Mundle%2C+Kavita%22">Mundle, Kavita</searchLink><relatesTo>2</relatesTo><i> kavita@uic.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Library+Resources+%26+Technical+Services%22">Library Resources & Technical Services</searchLink>. Oct2010, Vol. 54 Issue 4, p227-237. 11p. 1 Chart.
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  Data: *<searchLink fieldCode="DE" term="%22Electronic+books%22">Electronic books</searchLink><br />*<searchLink fieldCode="DE" term="%22Academic+libraries%22">Academic libraries</searchLink><br /><searchLink fieldCode="DE" term="%22Machine-readable+bibliographic+data%22">Machine-readable bibliographic data</searchLink><br /><searchLink fieldCode="DE" term="%22Cataloging+of+electronic+books%22">Cataloging of electronic books</searchLink><br /><searchLink fieldCode="DE" term="%22Machine-readable+bibliographic+data+formats%22">Machine-readable bibliographic data formats</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22University+of+Illinois+at+Chicago%22">University of Illinois at Chicago</searchLink>
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  Data: E-books have become a substantial part of many academic library collections. Catalog records for each e-book title enhance discovery by library users, but cataloging individual books may be impossible when large packages are purchased. Increasingly, libraries are relying on outside sources for their e-book catalog records, which may come from vendors or third-party record services and are frequently included in the price of a subscription. Rather than handling individual items, catalogers find themselves managing and manipulating large sets of catalog records. While dealing with the records in batch is the only practical way to provide access to the large sets, batch processing does bring about a new set of challenges. This paper will explore the challenges of managing Machine-Readable Cataloging (MARC) records for the Springer e-book collection at the University of Illinois at Chicago University Library. It discusses tools and methods to improve record quality while working in a consortial setting. It provides lessons learned, continuing challenges of working with vendor records, and some steps that might help other libraries expedite the process of getting vendor records into the catalog. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Library Resources & Technical Services is the property of American Library Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.5860/lrts.54n4.227
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      – SubjectFull: Academic libraries
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      – SubjectFull: Machine-readable bibliographic data
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      – SubjectFull: Cataloging of electronic books
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      – SubjectFull: Machine-readable bibliographic data formats
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              Text: Oct2010
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