Panel 2: The Evolving Roots of Discovery

Starts at
Tue, Nov 7, 2023, 10:30 South Korea Time
( 07 Nov 23 01:30 UTC)
Finishes at
Tue, Nov 7, 2023, 12:00 South Korea Time
( 07 Nov 23 03:00 UTC)
Venue
Gyeongha Hall 1

Presentations

The Evolving Roots of Discovery: New Models of Metadata Creation, Collection, and Reuse.

In today’s complex world of discovery, metadata lies at the heart of an ever-expanding pool of information. Whether it is encoded in MARC or BIBFRAME, created by human or machine, metadata allows for the efficient and comprehensive searching of multiple data sources. The Panel will explore three key aspects of today’s metadata environment: the use of transformer-based models for the creation of metadata, the collection of metadata into open repositories (Platform for Open Data, or POD), and the shift to truly shared source metadata through the use of BIBFRAME (Project BlueCore). These three transformative approaches to the metadata ecosystem will allow for a deeper and richer understanding of collections within the research library.

  • Philip Schreur

    Stanford University

    Philip Schreur is the Deputy University Librarian at Stanford University. He earned a PhD from Stanford and an MLIS from the University of California, Berkeley. As the Deputy University Librarian (DUL), he is the COO for the libraries. In addition, he is responsible for liaising with the Stanford Coordinate libraries in the development of common goals and objectives, and is responsible for developing, maintaining, and evolving collaborative and coordinated programs with research libraries in the Ivy Plus Library Confederation (IPLC) along with various national and international institutions.

  • Peter Broadwell

    Stanford University Libraries

    Peter Broadwell has a Ph.D. in Musicology from the University of California, Los Angeles and an M.S. degree in Computer Science from the University of California, Berkeley. His work applies machine learning, web-based visualization, and other methods of digital analysis to complex cultural data. Recent studies in which he has participated have involved automatic translation and indexing of folklore collections in multiple languages, deep learning-based analysis of dance choreography from video sources, and multimedia annotation of Japanese Noh theater performances.

  • Peter Leonard

    Stanford Libraries

    作为研究助理大学图书管理员Data Services at Stanford Libraries, Peter works with teams supporting GIS, data acquisition & analysis, data curation, digital scholarship development, and the Academic Technology Specialist program. He holds a PhD in Scandinavian Literature from the University of Washington. He previously served as the Director of the Digital Humanities Lab at Yale University Library, and taught in the department of Statistics and Data Science at Yale. He was a Fulbright Fellow at Uppsala University during 2007-08, and an Aspen Ideas Festival Scholar in 2014.