The internet is the native environment of information seekers. OCLC Research recognizes that to be integrated into the internet, traditional library data must be transformed in various ways. We are analyzing the data in WorldCat and other sources to derive new meaning, insights, and services for use by libraries and others on the internet. Our work includes:
Exploring Models for Shared Identity Management at a Global Scale: The Work of the PCC Task Group on Identity Management in NACO
9 December 2019
Erin Stalberg, John Riemer, Andrew MacEwan, Jennifer A. Liss, Violeta Ilik, Stephen Hearn, Jean Godby, Paul Frank, Michelle Durocher, Amber Billey
This paper discusses the efforts of the PCC Task Group on Identity Management in NACO to explore and advance identity management activities.
8 December 2019
Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other organizations.
5 August 2019
Jean Godby, Karen Smith-Yoshimura, Bruce Washburn, Kalan Knudson Davis, Karen Detling, Christine Fernsebner Eslao, Steven Folsom, Xiaoli Li, Marc McGee, Karen Miller, Honor Moody, Craig Thomas, Holly Tomren
“Project Passage” is an OCLC Research Wikibase prototype that explores using linked data in library cataloging workflows. The report overviews the prototype’s development, its adaptation for library use, and eight librarians’ experiences with the editing interface to create metadata for resources.
8 November 2018
Using the 2018 International Linked Data Survey results, this article overviews the linked data projects or services implemented by institutions, what data they publish or consume, why they implemented linked data, challenges faced, and advice for institutions considering a linked data project or service.
21 October 2018
Hein van den Berg, Arianna Betti, Thom Castermans, Rob Koopman, Bettina Speckmann, Kevin Verbeek, Titia van der Werf, Shenghui Wang, Michel A. Westenberg
CatVis is an interdisciplinary digital humanities project that provides resources for librarians to manage vast bibliographic records as well as visualization tools for philosophical research. This paper describes the challenges encountered during the interdisciplinary research project CatVis.
13 August 2018
Thom Castermans, Kevin Verbeek, Bettina Speckmann, Michel A. Westenberg, Rob Koopman, Shenghui Wang, Hein van den Berg, Arianna Betti
This research proposes a novel type of low distortion radial embedding that preserves near-exact distances to the focus entity and minimizes distortion between other entities. This data visualization method adapts SolarView to explore high-dimensional metric space of bibliographic entity similarities.
30 June 2018
Pauline van Wierst, Steven Hofstede, Yvette Oortwijn, Thom Castermans, Rob Koopman, Shenghui Wang, Michel A. Westenberg, Arianna Betti
BolVis is a visualization tool for text-based research in philosophy. BolVis helps researchers determine quickly which parts of a text corpus are most relevant by performing a semantic similarity search on words, sentences, and passages, enabling in-depth analysis of texts at a significantly greater scale.
29 March 2018
Michele Casalini, Chiat Naun Chew, Chad Cluff, Michelle Durocher, Steven Folsom, Paul Frank, Janifer Gatenby, Jean Godby, Jason Kovari, Nancy Lorimer, Clifford Lynch, Peter Murray, Jeremy Myntti, Anna Neatrour, Cory Nimer, Suzanne Pilsk, Daniel Pitti, Isabel Quintana, Jing Wang, Simeon Warner
SLNA-NF outlines key challenges in facilitating the data sharing of local name authorities. This white paper considers ways to modernize the practice of library authority control to make authorities more shareable.
7 February 2018
Jessica Ventlet, Karen Stoll Farrell, Tammy Kim, Allison Jai O’Dell, Jackie Dooley
The OCLC Research Library Partnership Web Archiving Metadata Working Group (WAM) has created recommendations for descriptive metadata best practices for archived web content to meet end-user needs, enhance discovery, and improve metadata consistency. This literature review considers both end user and metadata practitioner needs for web archives.
Descriptive Metadata for Web Archiving: Recommendations of the OCLC Research Library Partnership Web Archiving Metadata Working Group
7 February 2018
Jackie Dooley, Kate Bowers
The OCLC Research Library Partnership Web Archiving Metadata Working Group (WAM) developed recommended practices for creating consistent metadata that addresses the unique characteristics of websites and collections for web archiving. These practices can be used by anyone who needs to describe web content.