- Starts at
- Wed, Nov 8, 2023, 09:15 South Korea Time
08 Nov 23 00:15 UTC)
- Finishes at
- Wed, Nov 8, 2023, 11:30 South Korea Time
08 Nov 23 02:30 UTC)
- KNU Library
- Ying-Hsang Liu
The student forum aims to provide an opportunity for master's and doctoral students to share their experiences and exchange ideas of best practices, research in progress, and findings in areas related to metadata innovation.
|Time (KST)||Programme||Presented by|
|09:10||The Trans Metadata Collective||B.M. Watson|
|09:30||A Preliminary Study on Interlinking Metadata Elements for the Official Documents of the Japanese Government General of Korea||Inyoung Jung|
|09:30||Linked Metadata for Nazi Looted Art||Hannah Moutran, Rachel Deitch|
|10:20||When Nightwing and Superman Crossover: Knowledge Graphs & Comics||Whitney Nelson, Sam Curtis|
|10:40||Makerspace Metadata Schema Implementation||Heather Wiegert, Katie Colson|
|11:00||Considering WEMI and the Digital Artifacts Around Language Documentation Transcripts||Hugh Paterson III|
Uppsala University & Technical University Chemnitz
Dr. Ying-Hsang Liu is a Researcher at Uppsala University's Department of ALM in Sweden and a Visiting Scholar at Technical University Chemnitz in Germany. He earned his Ph.D. in Information Science from Rutgers University. His research centers around the convergence of knowledge organization, interactive information retrieval, and human information behavior, with a specific focus on search interface design and evaluation.
The Trans Metadata Collective
Authors: B.M. Watson
The Trans Metadata Collective (TMDC) is an ad-hoc group of nearly a hundred information professionals, developed best practices for the description and classification of trans and gender diverse information resources. The culmination of their work, Best Practices for Trans and Gender Diverse Metadata give precedence to transparent practices, cultural sensitivity, correct identification, explicit descriptions of transphobia, and regular assessment of trans-related content. The TMDC report emphasizes the importance of minimizing potential harm and protecting privacy in metadata creation. Overall, the report aims to enhance the representation and inclusion of trans and gender diverse communities in cultural heritage institutions. The author of this paper was the primary organizer for and a co-author of the TMDC report. In this paper, I briefly summarize the collective’s investigation and outline its recommendations regarding common metadata standards, including RDA (Resource Description and Access), Library of Congress Classification (LCC) and others. Following this, I offer initial considerations about how the TMDC’s principles and recommendations affect Dublin Core metadata (both the Core and the DCMI metadata types).
University of British Columbia iSchool
B.M. (bri) Watson (@brimwats) is a disabled, white, queer & nonbinary settler living in Musqueam. They are a Vanier Scholar at UBC's iSchool focusing on histories of information and practices of equitable cataloging in cultural heritage. They are the archivist of APA's Consensual Nonmonogamy Committee & the Haslam Collection on Polyamory at the Kinsey Institute. They also serve on the editorial board of the queer linked data vocabulary Homosaurus, and direct HistSex.org.
A Preliminary Study on Interlinking Metadata Elements for the Official Documents of the Japanese Government General of Korea
This study aimed to connect different descriptive elements from various institutions to preserve the context and effectively manage the archives of the Japanese Government General of Korea. Currently, the official documents of the Japanese Government General of Korea are dispersed across multiple institutions and described using different descriptive methods, making it challenging to achieve integrated access. To address this issue, this research compared the descriptive elements used by each institution and attempted to link these elements using the RiC-CM. The descriptive methods of each institution varied significantly in terms of the number of elements, hierarchy, and presentation style, largely due to their focus on core holdings. While the results of linking these documents showed modest connections when examining only three records, it is believed that more meaningful results can be obtained by expanding the scope by controlling values such as language, institution names, years, individuals, and departments. Thus creating a broader network not only for the Government-General of Korea archives and for connecting with other modern and contemporary documents.
Kyungpook National University
Inyoung Jung is a master's degree student studying archival science at Kyungpook National University. She earned her master's degree in classical document management from the Academy of Korean Studies (AKS), focusing on a thesis related to books and catalogs held by prominent Korean noble families. Her research interests include accessing and connecting with old records and how humanists use information.
Linked Metadata for Nazi Looted Art
Authors: Hannah Moutran and Rachel Deitch
This paper proposes the application of linked open metadata in order to improve discoverability, provenance research, and restitution efforts for Nazi-looted art. Multinational and national online registries, including the German Lost Art Database and lootedart.com, were created in response to the 1998 Washington Conference on Holocaust-Era Assets. The next step is to expand upon the work of these repositories by creating robust linked metadata for the objects described within them. Linked open data will support data integration across institutions, increase discoverability, and enable machine learning and artificial intelligence applications in the looted art space. Included is a proposal for a data model that is adapted to the specific, contextualized needs of looted art objects and built using elements from the Europeana Data Model, Dublin Core, and RDA. Using these widely adopted frameworks in conjunction with standardized vocabularies will increase interoperability and support ease of implementation. Employing a hypothetical example, we illustrate how a knowledge graph can help researchers to sift large amounts of data, thereby increasing the chances of matching objects from disparate data sources.
University of Texas at Austin
Hannah Lydia Chavez Moutran is pursuing an MS in Information Studies at the University of Texas at Austin, focusing on metadata, digital initiatives, and academic librarianship. Hannah is a recipient of the Charles A. and Alice C. Reeve Endowed Graduate Fellowship for her MSIS studies. Hannah is presenting research with Rachel Deitch on the application of linked open data for Nazi-looted art at the DCMI 2023 Student Forum.
University of Texas at Austin
Rachel Deitch has a background leading data, operations and innovation teams in market research organizations. Rachel is a candidate for the MS in Information Studies at the University of Texas at Austin, where she is focused on data curation, governance and data librarianship. She is interested in how metadata can be leveraged to enhance efficiency and foster increased collaboration for research initiatives. Rachel also holds a MS in IT from Rensselaer Polytechnic Institute.
When Nightwing and Superman Crossover: Knowledge Graphs & Comics
Authors: Whitney Nelson and Sam Curtis
Since the 1940s, superhero comics have occupied a pervasive position within modern popular culture, from books to movie franchises and video games. Contemporary comic characters have multiple storylines, are rebooted every few years, and crossover frequently with other comic series. Without the necessary background knowledge, a new comic reader faces a high barrier to entry. For comic books to remain open, accessible, and to meaningfully engage an audience as diverse as its content, an interconnected and flexible metadata structure is critical. We believe that improved metadata standards and structures can make comic books accessible to a new readership with a diverse range of backgrounds and experiences. By implementing a knowledge graph and metadata structure, a vast collection of comics can be transformed into an accessible, intuitive database. To demonstrate this improved functionality, we created a sample knowledge graph for two comics in the DC Universe: Nightwing and Superman Son of Kal-El. We combined a fan created and maintained comic book database, The Grand Comic Database (comics.org), with an open-source, fan created, comic book ontology, Comic Meta (comicmeta.org), and applied bespoke customizations to highlight possi
School of Information, University of Texas
Whitney Nelson is a graduate student at the School of Information at the University of Texas. Her academic pursuits are driven by a profound interest in the dynamic relationship between humans and technology. Through her research, she aims to explore how communities adapt to new technology in new and surprising ways. She is drawn to the idea that technology is not just a neutral tool but a powerful force that influences and is influenced by social, cultural, and economic contexts.
School of Information, University of Texas
Sam Curtis is a graduate student at the School of Information at the University of Texas. Sam is fascinated by the power of information organization and management. Her interest in information has driven her to explore how data structures can profoundly impact the accessibility and utility of information for both individuals and organizations. She aims to contribute to the development of information systems that enhance user experiences and facilitate efficient information retrieval.
Makerspace Metadata Schema Implementation
Authors: Heather Wiegert and Katie Colson
Makerspaces and Fab Labs are growing in popularity and now have large repositories of unique and nontraditional resources. However, there is a noted gap in the literature addressing the long-term management of Makerspace resources. Based on the digital resources of one Makerspace [The Champaign- Urbana Community Fab Lab (CUCFL)] we created a metadata schema useful to both staff and patrons to manage these items. Our central goals were to organize, improve search and discovery, and allow for adaptability. The CUCFL needed the schema to allow for change, so we originally created a simple schema to serve as a blueprint for a refined final version. For the CUCFL, the final version is an updated metadata schema adapted to serve as the information architecture for a new website functioning as a staff and public accessible library of their resources. With this example, we hope to encourage more research and development in this area. This project was supervised by Professor Inkyung Choi at the University of Illinois Urbana-Champaign.
University of Illinois at Urbana-Champaign
Heather Wiegert recently graduated with her Master of Science degree in Library and Information Science from the University of Illinois at Urbana-Champaign (UIUC). She has an interest in knowledge organization and linked data in the realm of special collections. She currently works as a Senior Library Specialist for the Rare Book and Manuscript Library at UIUC, specializing in special collections cataloging.
Katie Colson recently graduated with her Master of Science degree in Library and Information Science from the University of Illinois at Urbana-Champaign. Her area of interest is in knowledge organization, specifically working to find the best way to create a web of information to connect people to resources. She is currently living in California and working for Stanford University as the Metadata Librarian for Education Resources.
Considering WEMI and the Digital Artifacts Around Language Documentation Transcripts
Authors: Hugh Paterson III
Time-aligned textual transcriptions and the relationships between them and other files to which they relate can have complex creation narratives. This paper/presentation addresses critical questions related to cataloging and record creation for these types of digital artifacts. The approach appeals to WEMI and the file creation workflow as a way to analyze transcriptions and annotations as independent works from their source material. Arguments are presented for an analysis where transcriptions are independent expressions if not also independent works. According the Dublin Core 1:1 principle this means that Dublin Core based metadata schemas should support these resources with a separate description record. The two records—source media and transcriptions—ought to be related but separate. Modern practices of language documentation can complicate the expression of relationships because single files may include multiple expressions or both annotations and translations via different contributors.
Hugh Paterson III
University of North Texas
Hugh Paterson III researches language resource description, metadata schemas, and associated information retrieval processes at the University of North Texas. He holds an MA in Linguistics and has participated in team-based language documentation work in Nigeria and Mexico. His work within Information Science seeks to inform practical cataloging of software and complex multi-contributor resources.