Skip to main content


eCommons@Cornell

eCommons@Cornell >
Cornell University Library >
Articles, Preprints, and Presentations by CUL Staff >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/2173
Title: Rehabilitating Killer Serials: An Automated Strategy for Maintaining E-journal Metadata
Authors: Banush, David
Kurth, Martin
Pajerek, Jean
Keywords: Electronic journals
Automated catalog maintenance
Automated cataloging
Minimal-level cataloging
Descriptive metadata
Serials cataloging
Issue Date: Jul-2005
Publisher: American Library Association
Citation: Library Resources & Technical Services 49, no. 3 (July 2005): 190-203
Abstract: Cornell University Library (CUL) has developed a largely automated method for providing title-level catalog access to electronic journals made available through aggregator packages. CUL's technique for automated e-journal record creation and maintenance relies largely on the conversion of externally supplied metadata into streamlined, abbreviated-level MARC records. Unlike the Cooperative Online Serials Cataloging Program's recently implemented 'aggregator-neutral' approach to e-journal cataloging, CUL's method involves the creation of a separate bibliographic record for each version of an e-journal title in order to facilitate automated record maintenance. An indexed local field indicates the aggregation to which each title belongs and enables machine manipulation of all the records associated with a specific aggregation. Information encoded in another locally defined field facilitates the identification of all of the library's e-journal titles and allows for the automatic generation of a Web-based title list of e-journals. CUL's approach to providing title-level catalog access to its e-journal aggregations involves a number of tradeoffs in which some elements of traditional bibliographic description (such as subject headings and linking fields) are sacrificed in the interest of timeliness and affordability. URLs and holdings information are updated on a regular basis by use of automated methods that save on staff costs.
URI: http://hdl.handle.net/1813/2173
ISSN: 0024-2527
Appears in Collections:Articles, Preprints, and Presentations by CUL Staff

Files in This Item:

File Description SizeFormat
Rehab.pdf621.46 kBAdobe PDFView/Open

Refworks Export

Items in eCommons are protected by copyright, with all rights reserved, unless otherwise indicated.

 

© 2014 Cornell University Library Contact Us