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Anne Washington's picture

Presentation Slides Available - Linked Library Data Interest Group Session - ALA Midwinter 2017

LITA/ALCTS Linked Library Data Interest Group Meeting: Linked Data For Real

Time: Saturday, January 21, 2017, 8:30-10:00 AM

Location: Georgia World Congress Center, B207

Thank you to our speakers for three exciting presentations describing the use of linked data in current library projects.

 

1. Linked metadata for 3D-models: From Dublin Core to Europeana Data Model [1]

Xiying Mi, Metadata Librarian, University of South Florida Libraries

Bonita Pollock, Metadata Librarian, University of South Florida Libraries

Abstract: The University of South Florida Libraries in conjunction with Lori Collins and Travis Doering, Co-Directors of the USF Libraries Digital Heritage and Humanities Collections, represent cultural heritage projects with embedded 3D-models harvested from Sketchfab. This talk discusses how the library stores, curates, and provides access to cultural heritage 3D-model collections. Our goals are to provide greater access to the digital collections by enhancing the metadata fields, to better facilitate the 3D visualization models for display and viewing, and to increase the ability to share our collections online through the use of a metadata schema compatible with linked data. We employ Dublin Core as our descriptive metadata schema and use the Europeana Data Model as the linked data structure. We chose the Europeana Data Model because it has a semantic web-based framework designed for cultural heritage objects, which supports linked data enabling our metadata to be more easily shared with other institutions. This project explores the possible ways of supporting 3D-model collections in a library context as well as providing the groundwork for linked open data. These efforts are supporting work being done by a new research unit in our library that works with 3D and digital heritage data collections, research, and dissemination.

Bio: Xiying Mi, MLIS from University of Illinois at Urbana-Champaign, is a metadata librarian at University of South Florida Tampa Library. She is focused on digital collections metadata creation and curation. Her research interests lie primarily in linked open data, metadata and data management.

Bonita Pollock is a Metadata Librarian for the University of South Florida in Tampa where her main duties revolve around e-resources. She received her MLIS degree from Kent State University and also holds an MA in Educational Leadership from the University of Dayton and a Teaching Endorsement for Educational Technology from Wright State University. Her research interests involve Linked Data, Virtual Exhibits, Augmented Reality and Virtual Reality.

 

2. A Linked Data Metadata Scheme for Clothing Collections [2]

Maura Valentino, Metadata Librarian, Oregon State University Libraries and Press

Abstract: Digitization offers magnified views, and the history and stories that an object has to tell.  Clothing has an important story to tell.   In 2015, the OSU College of Business embarked on a project with OSU Libraries & Press to digitize and make available online an historic clothing collection.  This collection focuses on design motifs and patterns, and also Euro-American apparel from the beginning of the 19th century to the late 20th century, and non-Western apparel from the 15th, 17th, and 18th centuries.

As there was no metadata scheme for clothing within an existing namespace, Maura Valentino created a metadata scheme using elements from other schemes with existing namespaces, as well as original elements that were added to the Oregon Digital Opaque Namespace.  These elements were combined to create a new linked data historic clothing metadata scheme.  This scheme is now available to other institutions to describe their clothing collections.  

Bio: Maura Valentino is the metadata librarian at Oregon State University Libraries and Press.  She creates linked data metadata schema for digital collections, hosted in Hydra and for the institutional repository as it migrates from dSpace to Sufia.  She received her MSLIS from Syracuse University.  Her research interests include, linked data, textbook cost reduction and improving group work through improvisational comedy. 

 

3. Collaborative Linked Data Project for BIBFRAME 2.0 for Library Information Spotlight [3]

Amanda Xu, Metadata Analyst Librarian, University of Iowa Libraries

Abstract: Library linked data promises to meet libraries’ need for agility in content delivery and user engagement. This project chose BIBFRAME 2.0 to enable libraries to publish bibliographic resources in a way that Web understands, consume linked data to enrich the resources relevant to the libraries' user communities, and visualize networks across collections.  Through collaboration with two project teams, consisting students and faculty from Indiana University and University of Iowa since April 2016, the project built proof-of-concept demo of BIBFRAME 2.0 modeling for work, instance, item, agent, topic, etc. from the local bibliographic records in Alma and external data sources, representing library Info spotlight of operas in Opera Planet, a linked list of opera books, videos, sound recordings, streaming media, etc. interwoven into user’s online experience using BIBFRAME 2.0, conversion tools, and novel visualization techniques. The presentation will cover what it takes to build the teams to develop the linked library data applications for content enhancement and visualization.

Bio: Amanda Xu became Metadata Analyst Librarian at University of Iowa Libraries in 2015, after graduating with MLS from University of Illinois at Urbana-Champaign, studying for years in Management and Systems from New York University; and working for years at highly-esteemed academic institutions such as MIT and online info service companies such as EBSCO Publishing, etc.  Her specialty is in content integration, analysis, enhancement, visualization, management and discovery.

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[1] http://connect.ala.org/file-manager/download/group/142470/ALAMW%202017/Mi_Pollock_Linked_metadata_for_3D-models_MW2017.pptx

[2] http://connect.ala.org/file-manager/download/group/142470/ALAMW%202017/Valentino_LinkedMDClothing_MW2017.pptx

[3] http://connect.ala.org/file-manager/download/group/142470/ALAMW%202017/Xu_BIBFRAME20_MW2017.pptx