innovation in metadata design, implementation & best practice

DCMI Virtual: Student Forum

DCMI Student Forum aims to provide an opportunities to masters' and doctoral students to share their experiences and exchange ideas of best practices, research in progress, and findings in areas relating to the theme of the conference, which is Metadata Innovation.


Student Forum 1

Monday, 11 October (2021-10-11)
21:00 - 23:00 UTC

Convert to other timezones | Add to Calendar

Moderator:
Karen M. Wickett

Assistant Professor
School of Information Sciences
University of Illinois


What do Ulysses S. Grant and Squirrel with an Attitude Have in Common?: Creating Meaningful Metadata for Ohio Outdoor Sculpture

Arpi Anderson, Kent State University
Kathy Berry, Kent State University
Megan Calhoun, M.L.I.S, Baker & Taylor Publishing Services

Ohio Outdoor Sculpture (OOS) is a unique, freely accessible website and database of public outdoor sculpture in Ohio that attempts to sustain an inventory of existing works and an archival record of works that no longer exist. There are over 2,000 sculptures in the database and metadata records include images and information on the works’ physical properties, locations, historical backgrounds, and artists. Since the spring of 2021, MLIS interns from Kent State University have been working to formalize standards for the collection’s expansive metadata and apply those standards consistently across the site’s existing records to enable improved search, discovery, browse, and filtering features. Starting with a collection of close to 100 existing elements, the strategies employed include developing controlled vocabulary lists based on existing values and eliminating redundant elements. This presentation offers details of the sense-making approaches to the existing metadata (including the challenges unique to this project and its collection and how those challenges were met) and next steps for the future of the project.

Supervisors / Mentors
William Barrow, Chair of the Preservation Committee, The Sculpture Center, US
Arpi Anderson
Arpi Anderson

Kent State University, US

Arpi’s LIS interests are in the area of information & knowledge organization and include cataloging, metadata, and database management. She has worked for the Cincinnati and Hamilton County Public for over 12 years in various roles and works currently in the Virtual Information Center, providing customer support via phone and chat services. She is a professional freelance flutist with BA and MM degrees in music performance from UCLA and has done graduate work in music theory.

Kathy Berry
Kathy Berry

Kent State University, US

Kathy lives in northwest Ohio and plans to graduate in May 2022. She has concentrated her studies on information and knowledge organization. Her goal is to work more with metadata and taxonomies. She feels that her time spent working with Ohio Outdoor Sculpture gave her valuable hands-on experience with real-world metadata and database work. She will finish her master’s degree with coursework in metadata, KOS, digital fundamentals, resource description and access, and digital libraries.

Megan Calhoun, M.L.I.S
Megan Calhoun, M.L.I.S

Baker & Taylor Publishing Services, US

Megan graduated with an M.L.I.S. from Kent State University in May 2021 with a focus on Archival Studies and Digital Preservation. She also has a B.F.A. in Art History from Ohio University and a M.S. in Professional Writing from Towson University. She lives in Powell, Ohio with her husband and three daughters and loves books, art, the outdoors, and history. Her favorite parts of the OOS project were exploring new places in her home state and discovering the often-surprising history of works.

Maximizing Interoperability through Metadata: a Student Initiative

Grace Swinnerton, Syracuse University
Mohamed Ashmawy, Syracuse University
Heather Charlotte Owen, Syracuse University
Brie Baumert, Syracuse University

In early 2020, the Institute for Veterans and Military Families at Syracuse University (IVMF) approached Syracuse University Libraries with an interest in relocating and developing the IVMF’s existing archive. The solution was to establish and populate a Digital Resource Library (DRL) for the IVMF’s materials. The major outcomes of such a solution would include a) a unique institutional repository collection featuring materials related to veteran and military family studies, b) the creation of portals for expanded access, c) the expansion of the impact of non-traditional academic literature, and d) the advancement of Syracuse University’s (SU) Academic Strategic Plan and Cross-Disciplinary Clusters. These outcomes would be achieved through collaboration between a cross-campus team of librarians, faculty members, senior leadership at the IVMF, and a team of Library and Information Science (LIS) graduate students. To date, the collaboration has produced a DRL prototype that combines a curated index of externally produced, veteran-specific resources with internally produced, original research items that are maintained in Syracuse University’s institutional repository (SURFACE).

Supervisors / Mentors
Déirdre Joyce, Head of Digital Stewardship & the Digital Library Program, Syracuse University Libraries, US
Bonnie Beers, Director of Quality and Innovation, Institute for Veterans and Military Families at Syracuse University, US
Chad Harper, Adjunct Professor, Syracuse University School of Information Studies, US
Grace Swinnerton
Grace Swinnerton

Syracuse University, US

Grace “Gigi” Swinnerton (G’21) is a recent graduate of the Syracuse University iSchool’s Library and Information Science program. She has been working at the Institute for Veterans and Military Families (IVMF) since May 2020 on the Resource Library project. She is currently a fellow with the SUL Digital Library Program (DLP) and the IVMF Librarian. Her interests include the relationship between critical information literacy and metadata, and information justice and controlled vocabularies.

Mohamed Ashmawy
Mohamed Ashmawy

Syracuse University, US

Mohamed “Ash” Ashmawy has got his MSLIS in 2021 from the School of Information Studies at Syracuse University (iSchool). He has been working at the Institute for Veterans and Military Families (IVMF) since June 2020 as an Information Analyst Graduate Assistant. Currently, he works for EBSCO Information Services as a Library Service Engineer. His major interests revolve around metadata, database administration, and digital libraries.

Heather Charlotte Owen
Heather Charlotte Owen

Syracuse University, US

Heather Charlotte Owen is a second-year graduate student in the Syracuse University iSchool’s Library and Information Science program. She has been working at the IVMF since January 2021 as a Metadata and Accessibility Graduate Assistant. She also currently works at the Syracuse University iSchool as a Wilhelm Graduate Assistant. Her interests include metadata, social justice within libraries, instructional design and critical information literacy, and data science.

Brie Baumert
Brie Baumert

Syracuse University, US

Brie Baumert is a second-year graduate student of the Syracuse University iSchool's Library and Information Science program. She has been working at the IVMF since May 2021 as a Collection Development Intern on the Resource Library project. She currently works at Syracuse University Libraries as an Information Literacy Scholar. Her interests include critical information literacy, equitable access to information, and the value of reference work.

Curating the #RickyRenuncia Tweet Dataset using Schema.org

Irmarie Fraticelli-Rodriguez, University of Michigan School of Information

This research is focused on developing a curation that makes accessible contextual content and relationships of Tweet datasets for non-data scientists’ audiences. For a data scientist, it may be obvious the context and relationship in the dataset, for other users those relationships may not be apparent. By using SocialMediaPosting metadata fields, it develops a curation that can be applied to a tweet dataset as a way to enrich the dataset with additional metadata and can be used by a CMS to query context and relations. As part of the mapping, it is used Schema.org metadata tag "IsBasedOn" to connect social media activity. In terms of social media preservation, the research makes a proposition to include Tweet Embeddings from Twitter as part of the Schema.org curated dataset. This curation is part of the RickyRenuncia Project, which objective is to preserve physical and digital content from the 2019 Puerto Rican summer protest. The Twitter dataset used in this research is related to this event, and some of the tweets can be located on Twitter using the hashtag #RickyRenuncia.

Supervisors / Mentors
Andrea Thomer, Advisor, University of Michigan School of Information, US
Irmarie Fraticelli-Rodriguez
Irmarie Fraticelli-Rodriguez

University of Michigan School of Information, US

Irmarie Fraticelli-Rodríguez is a first-year Ph.D. student in Information Science at the University of Michigan. Her research is related to cultural heritage and social media preservation. Previously, she earned an MSI from the University of Michigan and a BA in Spanish Studies and History from the University of Puerto Rico.She has worked with Latinx collections and recognized the need to utilize and generate multilingual metadata structures as a way to enrienrich database description.

Fresh Eyes, Fresh Whats, Hows, Whys

Kiley Jolicoeur, Syracuse University School of Information Studies, Syracuse University Libraries

As a graduate student assistant for Syracuse University Libraries' Digital Library Program, I conducted a project in the summer of 2021 to transform the metadata of the Gerrit Smith Pamphlets and Broadsides collection as we migrate it into our newly acquired digital collections platform, Quartex. The collection had existing MARC catalog records describing the physical objects and METS metadata records describing the digital objects. Because each set had its own situations of paucity, both were needed to describe the objects in detail. This project focused on combining the two distinct sets of metadata and transforming the MARC records into a format that suited the metadata application profile we have developed for Quartex. Using this project as a guide, I developed a three part metadata assessment workflow meant to provide basic building blocks for professionals new to metadata processing: a workflow of what, how, and why. This is meant to challenge assumptions of 'common sense' and center an assessment of not only the metadata itself but also the process being used.

Supervisors / Mentors
Déirdre Joyce, Head of Digital Stewardship and the Digital Library Program, Syracuse University Libraries, US
Kiley Jolicoeur
Kiley Jolicoeur

Syracuse University School of Information Studies, Syracuse University Libraries, US

I'm a final semester MLIS student in the Syracuse University School of Information Studies and a graduate student assistant for the Syracuse University Libraries' Digital Library Program. My interests in information science are varied but lie particularly in knowledge organization, including metadata, cataloging, and classification, especially tacit classification expressed through memes and other internet methods of communication, such as folksonomic tagging.

Student Forum 2 (AP-Region)

Tuesday, 12 October (2021-10-12)
07:00 - 09:00 UTC

Convert to other timezones | Add to Calendar

Moderator:
Farrah Diana Saiful Bahry

Head, Centre of Studies in Informatics
Faculty of Information Management
Universiti Teknologi MARA


A Method to enrich policy metadata through automatic identification of policy tools

Na Li, Library of Chinese Academy of Social Sciences
Mingfei Li, Chengdu Library and Information Center, Chinese Academy of Sciences

Policy research is one of the important contents of library information, but the metadata description of the policy is difficult to reveal the content of the policy in depth. As a means of policy promotion and implementation, a part of policy data and a dimension of intrinsic feature mining in policy research, policy tools can become an important content of the policy metadata system. However, the identification of policy tools is carried out manually, which is difficult when analyzing a large number of policies. This paper proposes a method to enrich policy metadata through automatic identification of policy tools. We design and implement the automatic identification process, and compare the performance of machine learning methods and deep learning methods. In addition, we propose a plan to integrate policy global information for policy tool identification, and have proved the effectiveness of the plan. We find that the deep learning model achieves an accuracy of 95.44% on 55.63% of the test data, which has reached the practical requirements. It’s the first attempt at automatic identification of policy tools, which will enrich policy metadata, and is of great significance to the realization of in-depth mining of policy content.

Supervisors / Mentors
Enbo Jiang, Research librarian, Chengdu Library and Information Center, Chinese Academy of Sciences, CN
Na Li
Na Li

Library of Chinese Academy of Social Sciences, CN

Na Li, master of information science, graduated from Chengdu Library and Information Center, Chinese Academy of Sciences, now working in the library of Chinese Academy of Social Sciences. She has a multidisciplinary background in medicine, computer science, and management, and her research focuses on policy science and text mining. She has published 4 papers in academic journals and Participated in JCDL2020.

Mingfei Li
Mingfei Li

Chengdu Library and Information Center, Chinese Academy of Sciences, CN

Mingfei Li is a postgraduate of National Science Library of the Chinese Academy of Sciences. Her research direction is big data intelligence analysis、 user behavior analysis and recommendation. During the colledge, she had solid academic performance about information analysis and data mining theories and methods. In order to apply the theory to practice, She participated in some projects and competitions and achieved good results.

Developing a Linked Conceptual Model for Zhang Daqian's collections

Junsong Lin, Sichuan University
Yin Luo, Sichuan University

Digital collections promote the conservation and preservation of cultural heritage around the world. The Linked Art community aims to develop a shared model for describing cultural heritage resources. The Linked Art Data Model for describing artworks is the current main practice of the Linked Art community and has been gradually applied to GLAM activities with many partner projects and consortia. Zhang Daqian (Chang Dai-Chien, 1899-1983) is a world-renowned artist and cultural emissary. He has a variety of extraordinary experiences in his artistic career, the most important of which is the Dunhuang journey, and shows that his different artworks of the period have different styles. Many of his works have been exhibited in different countries and regions, and are collected by cultural institutions and celebrities around the world. In linked data environment, this project designed a conceptual model for Zhang Daqian's artworks based on the Linked Art Data Model. The model mainly includes three classes and the event-based semantic links among the classes. In the future, we plan to build a linked publishing platform for Zhang Daqian's collections by enriching the model and gathering data from multiple institutions.

Supervisors / Mentors
Wei Fan, Associate Professor, Sichuan University, CN
Junsong Lin
Junsong Lin

Sichuan University, CN

Lin Junsong, is a postgraduate student in information science at the School of Public Administration of Sichuan University. He received a bachelor's degree in Information Management and Information Systems in 2020. His research interests include linked data and knowledge graph in culture heritage resources.

Yin Luo
Yin Luo

Sichuan University, CN

Luo Yin is a postgraduate student in library and information studies at the School of Public Administration of Sichuan University. He received a bachelor's degree in international economy and trade in 2019. His research interests include digitization of culture heritage and emergency information management.

Towards a Model for Enhancing E-Resources Utilisation in Kenyan Public Universities’ Academic Libraries

Hosea Chumba,The Technical University of Kenya

Academic Libraries form the hub of knowledge and hence are considered as integral parts of academic life. Initially, it was a collection of physical books and resources available for borrowing. They have however evolved into information technology intensive information centers that provide information in digital form. The content of libraries is no-longer restricted to physical formats such as books, magazines or journals but have expanded to include online databases, electronic journals and electronic books which are available in electronic formats (Nnadozie & Nwosu, 2016). Such e-resources enable the library users to ubiquitously access information services and resources from the comfort of their locations thus reducing on cost (Prakash, 2017). Despite this realization, the utilisation of such e-resources is empirically reported to be very low. This continue to be the case despite the ongoing pandemic making online learning a priority in most institutions.

Supervisors / Mentors
Prof. Joseph Kiplang’at, Deputy Vice-Chancellor, AA&R, Africa International University (Formerly NEGST), Kenya
Hosea Chumba
Hosea Chumba

Tutorial Fellow, The Technical University of Kenya, KE

Hosea K. Chumba is a Tutorial Fellow in the department of Information and Knowledge Management of the Technical University of Kenya where he has been teaching since 2014. Prior to this, he worked in the Supreme Court of Kenya as an ICT officer. He received a BSc. Information Science from Moi University in 2012, and MSc. In Information Technology Management from the University of Nairobi in 2016. He is currently a PhD candidate (PhD Information Systems) at The University of Nairobi

Modelling and Publishing the Chinese Information Retrieval Lexicon with VocBench

Yikun Han, Sichuan University
Shimin Yan, Sichuan University

The Chinese Information Retrieval Lexicon was written by Qiyu Zhang, an important figure in the field of LIS, who devoted himself to improve the efficiency of information retrieval. The lexicon formulates a theoretical system of information retrieval with Chinese elements and visions. Linked Data and Semantic Web provide technical support and means for the digitization of the lexicon. Paper-based dictionaries can be converted to electronic dictionaries, and thus be facilitated by sequencing and retrieval. Lexicons, as a type of knowledge organization system, can be generally modeled using SKOS. However, partial entries in the lexicon have multiple senses, which cannot be fully conveyed by simply labeling. Hence, the Ontolex-Lemon model is chosen to enrich and extend specific meaning and to complete the partial encoding of the lexicon. After preparing the initial data, we need VocBench as a multilingual web platform for semantic processing. Sheet2RDF can be used for data format conversion from spreadsheet to triples. The function module allows real-time updates of the entries, and the SPARQL module enables complex queries. The lexical dataset will be integrated into the Linked Open Data Cloud.

Supervisors / Mentors
Wei Fan, Associate Professor, Sichuan University, CN
Yikun Han
Yikun Han

Sichuan University, CN

Yikun Han is an undergraduate student studying information resources management, belonging to the school of public administration in Sichuan University. His research interests are data management systems, software engineering, knowledge graphs, and natural language processing. In terms of skills, he is familiar with python data cleaning, data analysis, and data visualization. His usual hobbies are badminton and running, and skiing in winter.

Shimin Yan
Shimin Yan

Sichuan University, CN

Yan Shimin is an undergraduate student whose major is information science & library science at the school of public administration at Sichuan University. His research interest is in information organization and Information retrieval. And he is familiar with how to designing a management information system and front-end development. In his daily life, he loves sports, especially playing basketball and badminton.

Metadata for describing cultural heritage based point of interests with the aim of supporting navigation

Shiv Shakti Ghosh, Department of Library & Information Science, Jadavpur University

In this proposition, a set of metadata elements has been proposed that can be used for describing cultural heritage assets for navigation purposes while making the cultural context explicit. The elements have been proposed by reusing elements from the existing conceptual models of the cultural heritage domain. The entity analysis technique has been followed for synthesizing the metadata elements. The study starts with an analysis of data requirements of cultural heritage tourists so that the metadata elements could be selected in a way that will aid the tourists in finding relevant information. The proposed framework selects its elements by consulting the CIDOC-CRM and the Cultural-ON model. The selected elements have been enriched with attributes that are able to represent proximity based relations. The scope of the elements also covers those objects where events carrying cultural importance are organized. These events may be organized in public or private capacity. The objective is to make the metadata about the cultural heritage based POIs explicit so that spatial and cultural relationship among the POIs can be used to enhance relative referencing.

Supervisors / Mentors
Sunil Kumar Chatterjee, Professor, Department of Library & Information Science,Jadavpur University, Kolkata-700032, India, IN
Shiv Shakti Ghosh
Shiv Shakti Ghosh

Department of Library & Information Science, Jadavpur University, IN

Shiv Shakti Ghosh is doing his PhD and is a Senior Research Fellow in the Department of Library and Information Science, Jadavpur University, India. In 2013, he completed his Bachelor’s in Mathematics from Serampore College, India, and obtained his Master's degree in Library and Information Science (MSLIS) from Documentation Research and Training Centre (DRTC), Indian Statistical Institute, India in 2015. His research interests include Information Science, Social Science and Humanities.