Treffer: Cross-collection Searching : A Pandora's Box or the Holy Grail?

Title:
Cross-collection Searching : A Pandora's Box or the Holy Grail?
Source:
Literary and linguistic computing. 23(1):13-25
Publisher Information:
Oxford: Oxford University Press, 2008.
Publication Year:
2008
Physical Description:
print, 1/4 p
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
University of Maryland Libraries, University of Maryland, College Park, MD, United States
ISSN:
0268-1145
Rights:
Copyright 2009 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.20219600
Database:
PASCAL Archive

Weitere Informationen

As digital libraries have expanded to absorb existing collections as well as to create new ones, it has become clear that cross collection discovery is not simply desirable, but is increasingly a necessity demanded by users. Similarly, in the digital humanities community, thematic research collections once distinct from one another now would seem to benefit from interoperability. However, efforts to aggregate disparate resources are often stymied by differing metadata schema and controlled vocabulary. Using the lessons learned from the Thomas MacGreevy Archive, The University of Maryland Libraries designed its digital repository to provide for discovery across object types and collections using Fedora as the underlying architecture. To facilitate access to multiple collections within one repository, University of Maryland developed a flexible metadata standard. This metadata schema is used to describe varying types of materials at varying levels of granularity, while allowing for controlled vocabularies appropriate to specific collections.