Papers: Identities and Identity Management in Metadata

Starts at
03 Oct 22 17:30 UTC
Finishes at
03 Oct 22 19:00 UTC
Virtual Conference Room A
Jian Qin


  • Jian Qin

    Syracuse University, USA

    Jian Qin is Professor at the iSchool at Syracuse University. She conducts research in areas of metadata, knowledge and data modeling, scientific communication, research collaboration networks, and research data management. Her research has received funding from IMLS to develop an eScience librarianship curriculum and from NSF for the Science Data Literacy project. Jian Qin directs a Metadata Lab that focuses on big metadata analytics and metadata modeling and linking.


Automated Parsing of Personal Identity Facets for a Collection of Visual Images

Authors: Brian Dobreski, Melissa Resnick, Benjamin Horne

Collections of digitized, historical images serve as rich primary sources for digital humanities research, though access to these resources has been hindered by inadequate subject metadata. In this study, researchers explored the feasibility of performing subject analysis for a collection of historical images of persons through an automated procedure. Building on previous work that developed a faceted system for representing the identities of persons depicted in 19th century visual images, the present work attempted to automate the process of person and facet parsing for images from the A.S. Williams III Collection at the University of Alabama. A case-based model was built and used to analyze image titles. Compared to a manual control process, the automated model achieved a 95% success rate in parsing persons and an 85% success rate in parsing facets. Errors in parsing were more likely to occur for images of multiple persons, as well as those labeled with incomplete or uncertain names. Findings offer further support for faceted analysis of personal identity in historical materials, and reveal the potentials of automated, text-based methods of enhancing subject access for large visual image collections.

  • Brian Dobreski

    University of Tennessee, Knoxville

    Brian Dobreski is an Assistant Professor in the School of Information Sciences at University of Tennessee-Knoxville. His research focuses on the social implications of metadata, classification, resource description, and other knowledge organization practices, as well as the concepts of personhood and personal identity in information. Brian received his Ph.D. in information science from Syracuse University.

'Language is never complete': LGBT2QIA+ Creators on Metadata

Authors: Julia Bullard, Rio Picollo, Gerry Goh

We interviewed creators of items in an LGBT2QIA+ community library, asking for their assessment of the catalogue record and for suggestions on how to augment the record with identity terms to increase discoverability. Early results from our analysis underscore familiar challenges around applying terminology to LGBT2QIA+ materials and creators, and indicate design considerations for the library’s catalogue.

  • Julia Bullard

    The University of British Columbia

    Julia Bullard is an Assistant Professor at the UBC School of Information where she studies the design of knowledge organization systems. Her current work focuses on how catalogues can more fully represent LGBT2QIA+ communities and how traditional cataloguing represents Indigenous topics. She holds a PhD in Information Studies from the University of Texas at Austin, an MLIS from the University of British Columbia, and an MA in Cultural Studies and Critical Theory from McMaster University.

What’s in a Name?: A Cross-Section of Biography, Gender & Metadata in Cultural and Performing Arts Databases

Authors: Nat Cutter, Rachel Fensham, Tyne Daile Sumner

In this paper, we present preliminary findings about some of the problems related to name and gender in Australian cultural databases. Combining theoretical and statistical approaches we identify contradictory conventions, intriguing patterns, and distinct institutional vestiges in the recording and representation of artistic careers. We evaluate the affordances and constraints of naming conventions in cultural databases, considering evolving trends in Australian data collection and use, and the complex lives of individual artists. We argue that this local-level analysis extends to wider transnational debates in humanities research today and propose some conceptual and technical solutions for building and using cultural databases in the future.

  • Nat Cutter

    University of Melbourne

    Nat Cutter is an early career historian, with interests in early modern British relations with the Islamic world, media history, material culture, social networks, migration, gender, piracy, book history, and digital humanities. He has been awarded the Hakluyt Society Essay Prize and the Greg Dening Memorial Prize, and research fellowships from the American Society for Eighteenth-Century Studies, the Folger Shakespeare Library, the Huntington Library, and ANZAMEMS. He currently works as a junior researcher on several Australian Research Council-funded projects and teaches history at the University of Melbourne.