CFFIG 2010 Midwinter Program
Catalog Form & Function Interest Group
Recent Trends in Catalog Architecture
2010 ALA Mid-winter Meeting
January 16, 2010
PDF versions of the presentation slides are included below.
To Fix A Leaky Sink: Envisioning The Potential of Discovery Layers
Joshua P. Barton & Lucas Wing Kau Mak, Michigan State University
Abstract: Michigan State University Libraries was an early development partner and implementation site of Encore from Innovative Interfaces, Inc. Our local catalog has been maintained in parallel with Encore. Up to and since our Encore implementation we have taken the "kitchen sink" approach to the local catalog: we have included as much of our owned and licensed content as possible. This presentation will examine how the continuing development of "discovery layers" like Encore could allow libraries to reassess the role and scope of the local catalog, contingent on how the technology is applied. We will compare the potential of using discovery layers for searching across aggregated metadata to that of using federated searching. In addition, we will discuss the hopes we have for discovery layers and the benefits and efficiency that we expect they could yield in the facilitation of access to owned and licensed library resources.
LENS: Catalog Records and Additional Data Sources in the Aquabrowser Implementation at the University of Chicago
Frances McNamara, University of Chicago
Abstract: The Aquabrowser system has allowed mixing of Catalog 5.7 million MARC records: Hathi Trust 238K MARC records; e-Resources from SFX and Metalib 73K records; Archival Photofiles via OAI harvesting from a local digital library system of 8K records; Library Website via spidering of the library web site to add 4K records; American Environmental Photofiles via OAI harvesting from a local digital library system 4K records; Archives and Manuscript Finding Aids from a local EAD system 1K records plus First American West 731 records. In addition, LC authority file records and records from the Oxford Dictionary of National Biography have been added.
Issues in workflow, synchronization and benefits will be discussed.
Automated Metadata Repurposing Using eXtensible Catalog Software
Jennifer Bowen, University of Rochester River Campus
Abstract: Libraries need an easy, automated way to harvest their ILS and Institutional Repository metadata and prepare it for reuse in a variety of discovery interfaces and applications. Using open-source software developed for the eXtensible Catalog, libraries can automate the harvesting of metadata from their existing systems, clean it up (normalize it), transform it from one schema to another, aggregate metadata from multiple repositories, and make the resulting metadata available for harvesting by other applications. Through the use of the OAI-PMH protocol, XC software allows libraries to keep their various metadata repositories “in sync” – automatically – by tracking and managing new, updated, and deleted records between data stores. This presentation will include a live demonstration of the XC Metadata Services Toolkit, which manages the movement of metadata between systems, and describe its potential uses.
Equality of Retrieval: Leveling the Metadata Playing Field in Big Indexes
Aaron Wood, University of Calgary
Abstract: The University of Calgary's Libraries and Cultural Resources became a beta partner with Serials Solutions’ unified discovery service, Summon, in the spring of 2009. Since then it has worked to include metadata from numerous disparate systems in a single index to drive discovery in a Google-like environment. The University of Calgary has examined how MARC and other metadata schemas are mapped into Summon with an eye to ensuring the maximum possible population of index fields representing facets in addition to adhering to the established standards for cross mapping metadata schemas and indexing. The University of Calgary has investigated existing standards and worked closely with the Summon team to create mappings that reflect how MARC and other metadata can ultimately be used in big indexes. Combined with the normalization or collapsing of metadata records representing the same resource into a single metadata-rich record, fully leveraging MARC and other metadata in big indexes should not only level the metadata playing field but make competition between records a non-issue.