Papers: Metadata Models, Services, and Ethics

Starts at
03 Oct 22 20:00 UTC
Finishes at
03 Oct 22 21:30 UTC
Venue
Virtual Conference Room A
Moderator
Mikko Koho

Moderator

  • Mikko Koho

    Aalto University

    Dr. Mikko Koho is a Staff Scientist at Aalto University, Department of Computer Science. His research focuses on applying Semantic Web technologies to integrate and harmonize heterogeneous, distributed datasets as Linked Open Data, while also developing methods and tools for analyzing and using the data. His focus is on multidisciplinary Digital Humanities research, collaborating with many cultural heritage organizations and humanities researchers.

Presentations

An OLAC Perspective on Services: The Forgotten Language Resources

Authors: Hugh Paterson III

This paper explores criteria for using the DCMIType "Service". It does this by illustrating examples relevant to linguists and miniorty language communities. It further then contextualizes the discussion by applying the Dublin Core based application profile use by the Open Languages Archiving Community.

  • Hugh Paterson III

    University of Oregon & University of North Texas

    Hugh Paterson III has a MA in linguistics and has worked with SIL International’s Language & Culture Archives for several years. He writes for broad audiences in which readers may not be subject specialists. Currently he seeks to collaborate with institutions which desire to make their language resources more discoverable. He currently has affiliations with the University of Oregon (Eugene) and the University of North Texas (Denton).

OCLC’s Model in WorldCat: A Focus on Relationships

Authors: Michael Phillips, Jeff Mixter, Kathryn Stine

Conceptual models are a key component to holistically understanding data and using it in end-user applications. They provide an understandable roadmap for exploring, visualizing, and surfacing information. Library reference models serve a similar purpose by describing component parts of bibliographic materials that can help users find materials that fit their specific information needs. This work presents OCLC’s thinking in how to adapt the traditional Works, Expression, Manifestation, and Item (WEMI) model in WorldCat based on experiments with WorldCat bibliographic records.

  • Michael Phillips

    OCLC

    Michael Phillips joined OCLC as a Vocabulary Specialist in 2021 . He is currently dedicated to the development of the WorldCat Ontology, a semantic framework intended to underpin future linked data initiatives at OCLC. His work focuses on linked data, ontologies, taxonomies, and bibliographic conceptual models. He recently began serving as an OCLC liaison to the ALA Core Subject Access Committee (SAC).

Practicing Care: A Look at the Application of Care Ethics to Metadata Creation and Remediation

Authors: Kiley Jolicoeur

The process of creating and stewarding descriptive metadata is often approached with a focus on standardization. However, utilizing an approach grounded in care ethics to construct a relationship between the metadata creator and the people who are the creators and subjects of the archival materials can provide better descriptive metadata. The improvement is focused on allowing digital archives to give people appearing in the archive the respect and attention they deserve, as well as providing important historical information to users. This paper details a concept-in-practice discussion of the employment of an approach grounded in care ethics on the remediation of a collection with harmful legacy descriptive metadata.

  • Kiley Jolicoeur

    Syracuse University Libraries

    Kiley Jolicoeur is the Metadata Strategies Librarian in the Department of Digital Stewardship at Syracuse University Libraries, where she works primarily with digitized and born-digital archival content. She holds a BA in Philosophy and Classical Studies from Sweet Briar College and an MLIS from the Syracuse University School of Information Studies. She is currently a fellow with the Drexel University Metadata Research Center's LEADING program.