Data Science

Common Ground: Exploring Compatibilities Between the Linked Data Models of the Library of Congress and OCLC

Jointly released by OCLC and the Library of Congress, this white paper compares and contrasts the compatible linked data initiatives at both institutions. It is an executive summary of a more detailed technical analysis that will be released later this year.

FAST (Faceted Application of Subject Terminology) Users: Summary and Case Studies

Written by Research Assistant Jeff Mixter and Consulting Project Manager Eric Childress, this report includes case studies of sixteen parties (nine adopters, seven non-adopters) in six countries that have expressed interest in FAST, as well as a profile of OCLC’s own use of FAST.

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(US Letter .pdf)

The Relationship between BIBFRAME and OCLC's Linked-Data Model of Bibliographic Description: A Working Paper

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(US Letter .pdf)

A Crosswalk from ONIX Version 3.0 for Books to MARC 21

This report describes the crosswalk developed at OCLC for mapping the bibliographic elements defined in Version 3.0 of ONIX for Books to MARC 21 with AACR2 encoding. It is an update to the previous report, Mapping ONIX to MARC, which was published in 2010 and focused on ONIX 2.1.

Social Metadata for Libraries, Archives, and Museums

Metadata helps users locate resources that meet their specific needs. But metadata also helps us to understand and evaluate the resources curated by libraries, archives, and museums (LAMs). Social metadata—content contributed by users—is evolving as a way to both augment and recontexutalize the content and metadata created by LAMs.