Data Science & Metadata Research
To be discoverable by today’s online users, traditional library data must be transformed. OCLC Research analyzes bibliographic data to derive new meaning, insights, and services for use by library and information seekers. This work includes special projects in metadata enrichment, authorities & identities, linked data, subjects & classification, and data analysis.
Projects
FAST (Faceted Application of Subject Terminology)
FAST (Faceted Application of Subject Terminology) is derived from the Library of Congress Subject Headings (LCSH). It retains the very rich vocabulary of LCSH while making the schema easier to understand, control, apply, and use. The schema maintains upward compatibility with LCSH, and any valid set of LC subject headings can be converted to FAST headings.
Linked Data from OCLC Research
Linked Data is about communities agreeing on the meaning of their data and sharing it in a massively networked information space. This vision is taking shape in many sectors, including e-commerce, medicine, scientific research, and government services. OCLC Research is a leader in driving this transformation in the library community.
Completed Data Science and Metadata Research Projects
OCLC Research has many recently completed projects you can explore and use in your research.
OCLC Research Archive
OCLC Research continually evolves what we investigate, research, and report on as the field's needs change. For historical project information, explore the OCLC Research Archive, which holds a wealth of information about the work of OCLC produced over the decades..