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, data science research, engagement with metadata communities, publications and presentations, and the creation of illustrative experimental applications.
Presentations
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Case Studies of US Research Information Management
virtual
Topics: Research Information Management
Bringing IIIF Manifests to Life in Wikidata with Mirador 3 - 2021 IIIF Annual Conference
virtual
Topics: Wikimedia, IIIF
Open for All, Reusable for Whom?: A Review of What Data Reusers Want and How Data Repositories Can Deliver
virtual
Topics: Open Access, Research Data Management
OCLC Linked Data: Research, experimental applications, and shared infrastructure
virtual
Topics: Linked Data
Lessons from Representing Library Metadata in OCLC Research’s Linked Data Wikibase Prototype (video)
Hamburg, Germany
Additional Materials:
PowerPoint Slides (11MB)
Topics: Linked Data
What are the entities that matter, and how much should we say about them?
Virtual
Topics: Linked Data, Wikimedia
How IIIF standards improve search and discovery for Cultural Heritage collections
Tampa, Florida, USA
Topics: IIIF, Linked Data
Introducing the CONTENTdm Linked Data Pilot Project
Indianapolis, IN, USA
Topics: Linked Data, IIIF
IIIF Change Discovery in Action: Findings from an OCLC Research Experiment
Göttingen, Germany
Topics: IIIF, Linked Data
Fast and Discriminative Semantic Embedding
Gothenburg, Sweden
Topics: Semantic Embedding