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DCMI-2024

Best Practices

Starts at
Wed, Oct 23, 2024, 14:00 EDT
Finishes at
Wed, Oct 23, 2024, 17:00 EDT
Venue
Auditorium
Moderator
Marie-Claude Côté
The Best Practices session focuses on institutions that have successfully implemented robust and innovative metadata systems. This session provides a platform for these organizations to share their experiences, challenges, and insights with the broader DCMI community. Attendees will gain valuable knowledge on the strategies and methodologies that have proven effective in real-world settings, offering guidance and inspiration for their own metadata initiatives.

Moderator

  • Marie-Claude Côté

    Employment and Social Development Canada

    Marie-Claude Côté is Senior Manager, Information Architecture at Employment and Social Development Canada. Her work involves the sound deployment of information management (IM) and recordkeeping (RK) practices throughout this 44,000-employee federal department. Her previous functions in the Government of Canada (GC) include leading various projects pertaining to IM, RK, and archives; directing the development and assessment of IM, RK, and metadata tools, advice, and policy instruments; as well as contributing to department- and government-wide electronic documents and records management system implementations. She previously held management and analyst positions at Library and Archives Canada, Treasury Board of Canada Secretariat, the Department of Canadian Heritage, the Canadian Internal Development Agency, and Industry Canada. After obtaining her Master’s Degree in Library and Information Science, she worked in public and private sectors libraries before joining the federal public service more than 20 years ago. Marie-Claude's impact on the advancement of the information management domain was confirmed by the Ted-Ferrier Award from ARMA Canada’s National Capital Region Chapter. Marie-Claude is the brain behind the ideation and development of a new unified information and data life cycle representation. She also teaches the IM Curriculum at the Canada School of Public Service, and serves on the Dublin Core Metadata Initiative as an organising committee member and papers peer-reviewer for the annual conference. She is a certified project management professional (PMP).

Presentations

Dublin Core Application Profiles

Dublin Core has developed an approach to Application Profiles that can be applied to metadata development and use. This brief talk will highlight the main aspects of that approach, and how it relates to the recent work of the Application Profiles working group and the creation of the Dublin Core Tabular Application Profiles.

  • Karen Coyle

    DCMI

    Karen Coyle is a librarian specializing in metadata standards. She has served on standards efforts including the MARC standards group (MARBI), NISO committee AX for the OpenURL standard, W3C's SHACL specification, and was an ALA representative to the e-book standards development that led to the ePub standard. She is currently investigating the possibilities offered by the semantic web and linked data technology, working with the Dublin Core Metadata Initiative. Karen's publications are available on her web site, https://kcoyle.net.

Dublin Core and specialized metadata for the Web and Social Media Preservation Program and the Government of Canada Web Archive (GCWA)

This presentation will explore the custom horizontal metadata schema developed by Library and Archives Canada’s (LAC) Web and Social Media Preservation Program, focusing on its role in managing and providing access to web archival resources through the Master Seed Metadata List (MSML). Presenters will discuss the schema’s origins and its central role in LAC’s web collection development approach. Emphasis will be placed on the schema’s operational flexibility, enabling consistent metadata capture across all stages of web archiving—selection, quality control, preservation, curation, discovery and access. Additionally, the presentation will touch on the potential integration of AI tools to enhance access, while also addressing the challenges of trust and implementation faced by LAC’s Web and Social Media Preservation Program.

  • Kevin Palendat

    Library and Archives Canada

    Kevin Palendat is a senior project officer and web archivist specializing in digital archives and web preservation. He work with the Web and Social Media Preservation Program at Library and Archives Canada.

NLK’s Plan for Transition to Metadata Framework Based on Linked Data

Today's information environment has shifted towards data openness and connectivity through the web and networks. Consequently, it is necessary to transition from machine-readable cataloging (MARC), which was only interoperable between libraries, to a new bibliographic data format that supports connection, sharing, and reuse with external resources beyond libraries.
In response to these changes, the National Library of Korea (NLK) has announced the "National Bibliography 2030" vision. This vision aims to transition from traditional MARC to a new bibliographic framework based on linked data, such as BIBFRAME, by 2030.
As part of the step-by-step implementation plan for this vision, we conducted research this year on applying BIBFRAME. This research involved converting and analyzing national bibliographic data, modeling ontologies, and identifying future implementation tasks. In this presentation, I will briefly introduce the results of this research.

  • Ahjin Lee

    The National Library of Korea

    Ahjin Lee is a librarian at the National Library of Korea. She has worked in a variety of roles, including library program planning and information services. Since 2023, she has been in charge of bibliographic data standardization at the Metadata and Sustainable Access Division of the NLK. She is currently focusing on a project to transition MARC to a new bibliographic framework based on linked data.

Balancing Great User Experience with Software Limitations: A Geospatial Ontario Example

Ontario’s Digital Service Standard encourages us to deliver a high-quality user experience. However, this can be constrained by the functionality of off-the-shelf software. This presentation will outline how Geospatial Ontario navigated these challenges to successfully create the popular Ontario Geohub website.

  • Mike Dunkley

    Geospatial Ontario, Ontario Ministry of Natural Resources

    For over two decades, Mike has been part of the innovative GIS community at the Ministry of Natural Resources (MNR) at Govt Of Ontario. Currently, he is enjoying his role as a Project Manager within the newly unveiled Geospatial Ontario program. Whether it’s modernizing our corporate data maintenance solutions, ensuring robust metadata management, or steering the ambitious Ontario GeoHub initiative, Geospatial Ontario plays a pivotal role in advancing geospatial data capabilities across the province.

A case study on archival records and their metadata: from department to archive to public access

We will present a recent use case where LAC acquired a small collection of digital records from the Department of National Defence (DND) as an exploratory case for preserving and providing access to digital archival records via its Digital Asset Management System (DAMS). Applying the Library and Archives Canada (LAC) Operational Standard for Digital Archival Records’ Metadata, as well as manipulating and repurposing the metadata acquired with the records as part of archival processing, were central components of the project. This presentation will recap the collaborations with the department for assessing how to apply the Standard to the particular context of its electronic recordkeeping system, RDIMS. It will then explain how, and in what format, LAC acquired the metadata. Finally, we will explain how we used and repurposed the metadata for archival purposes in our DAMS and catalogue to ensure both long-term preservation as well as enable public access to the records.

  • Kat Timms

    Library and Archives Canada

    Kat Timms is a Senior Analyst on the Recordkeeping Strategies team in the Government Record Branch at Library and Archives Canada (LAC). For over 15 years, she has been working at LAC in numerous roles where she has acquired significant experience contributing to and coordinating programs, services, and initiatives related to archival and library operations and metadata. In her work, she has developed and implemented policy in the domains of information management, digital archives, recordkeeping, and archival metadata. She is an author of LAC’s recently published Operational Standard for Digital Archival Records’ Metadata and primary architect of the suite of supplementary guidance currently in development meant to support its use. Kat has significant experience in information standards development including work with the International Organization for Standardization (ISO) and the International Council on Archives (ICA).

  • Matthew Moore

    Library and Archives Canada

    Matthew Moore is the Manager of the Recordkeeping Strategies Team at Library and Archives Canada (LAC) in the Government Records Branch. He has over a decade of experience in the heritage and information management sectors, including working in museums and archives, private sector litigation support, and strategic information management and recordkeeping in the Government of Canada. Currently, his responsibilities include overseeing a series of projects designed to ensure that government information is appropriately managed to safeguard the authenticity and integrity of archival government records including their metadata. His recent work involves managing projects focused on information management advice around records identification and retention, digital transfers, and archival government records metadata requirements. This includes LAC’s recently published Operational Standard for Digital Archival Records’ Metadata and supplementary guidance. He is the Vice-Chair for the Canadian Mirror Committee for the International Organization for Standards (ISO) on archives and records management.

Identifying and measuring the characteristics of research data reuse behavior and diffusion rules in scientific literature

Research data refers to the data generated during scientific research activities. In the background of open science, research data has become an important basic strategic resource for knowledge discovery and scientific research innovation. The presentation explores the metadata, open sharing behavior and knowledge diffusion measurement of research data. The presentation elaborates on how to incorporate deep learning, pattern matching, metadata analysis, knowledge diffusion measurement, social network analysis, influence communication maximization and other related methods into research data research. This study constructs a research data citation extraction model (BioBERT-TextCNN), describes the distribution patterns of data citation characteristics, proposes indicators for measuring data knowledge diffusion (breadth, intensity, speed, delay), and illustrates the features of data knowledge diffusion networks. This study is of important significance for expanding the scope of knowledge diffusion research, in-depth understanding of the academic value of research data, promoting data management and citation standardization.

  • Ning Yang

    National Science Library (Chengdu), Chinese Academy of Sciences

    Yang Ning is a Senior Engineer at the National Science Library (Chengdu), Chinese Academy of Sciences. He has been selected as a Distinguished Research Fellow at CAS. He currently serves as the Deputy Director of the Knowledge Systems Department, as well as the Deputy Director of the Sichuan Province Engineering Research Center for Intelligent Mining and Application of Scientific and Technological Information. He obtained his PhD degree in Management at the University of the Chinese Academy of Sciences and was a Visiting Scholar at the School of Information at Kent State University in the United States. He has long been engaged in research in the fields of information organization and utilization, knowledge mining and services, and scientific data management and application. He has led one project funded by the National Social Science Fund, published over 20 papers in core journals and academic conferences such as Scientometrics and Library and Information Service, co-authored two books, holds two authorized invention patents, and has three software copyrights. He also serves as a peer reviewer for multiple journals and conferences.

  • Wei Hu

    National Science Library (Chengdu), Chinese Academy of Sciences

    Dr. Wei Hu is an assistant research fellow at National Science Library (Chengdu), Chinese Academy of Sciences. His interests include complex network modeling, text mining, and knowledge organization.

The African Development Bank SANKOFA Program: Business Classification that Enables Disclosure, Protects Sensitivity and Integrates Knowledge into the Business Process

The overall goals of the African Development Bank SANKOFA Program are to transform the current business practices where documents have been created and stored mostly on personal computers, reviewed and approved using email and hard copies, and shared as email attachments. The Bank-wide program is breaking down these silos and implementing common business processes among and across business units, regions and country offices. The program is building a shared online collaboration and document repository that facilitates the Bank’s achievement of its top priorities—The High Fives: Light up and power Africa, Feed Africa, Industrialize Africa, Integrate Affrica, and Improve the quality of life for the people of Africa. This presentation describes the SANKOFA business classification and metadata scheme that enables information disclosure, protects sensitive materials, and integrates knowledge in the business processes.

  • Joseph Busch

    Taxonomy Strategies

    Mr. Busch is an authority in the field of information science, with an emphasis on helping organizations develop metadata frameworks and taxonomy strategies to ensure that content realizes its highest value through re-use and re-purposing. He has extensive knowledge and experience developing content architectures consisting of metadata frameworks, taxonomies and other information management methods to implement effective applications. He is currently on a full-time assignment as the senior business classification analyst for the African Development Bank which is based in Abidjan in the Côte d’Ivoire.

A Linked Data Model for Entity Aggregation

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A fundamental requirement for the development of the Linked Data Knowledge Graph at the National Library Board of Singapore (NLB) was to able to ingest multiple entity descriptions, for the same real world object. Imagine all the individual Person entities for a prolific author that would be created if you import all the MARC records from a library management system.

To satisfy this requirement an adaptive data model was developed utilising elements of the OAI-ORE Aggregation vocabulary to track the relationship between individual source derived entities (for the same object) and a primary entity which exhibits a consolidated view across all the sources.

Richard will describe this simple model that is capable of dynamically tracking relationships even when source entities are deleted, modified, or added to the knowledge graph.

  • Richard Wallis

    Data Liberate

    Independent Consultant and Evangelist, a distinguished thought leader in Linked Data and Semantic Web who has been at the forefront of the emergence of these technologies for over 30 years. He is Chair of W3C Community Groups, including Schema Bib Extend & Bibframe2Schema.org. An evangelist for the adoption of Linked Data in cultural heritage and the wider Web. He has an international reputation for insightful and entertaining keynote sessions at library, Web, and Semantic Web focused events. He is currently working with the National Library Board of Singapore, and others on the extension, and use of the Schema.org vocabulary, plus its relationship with other vocabularies such as Bibframe.

Cross-searching of datasets by linking repository and vocabulary management in materials data platform

The NIMS Materials Data Repository (NIMS MDR, https://mdr.nims.go.jp) is a data repository that provides articles and materials research datasets hosted by National Institute for Materials Science (NIMS). While it serves downloading research data files, it works in conjunction with other applications such as a data aggregation service and MatVoc (https://matvoc.nims.go.jp), a vocabulary service for materials science to create a materials data platform and disseminate datasets on NIMS MDR.
This presentation will introduce the MDR XAFS DB (https://doi.org/10.48505/nims.1447) as an use case of a data platform linking datasets on NIMS MDR and vocabularies on MatVoc. It provides cross-searching XAFS (X-ray absorption fine structure) spectral data curated by research institutions in Japan. In addition, this presentation will introduce the International XAFS DB Portal (https://ixdb.jxafs.org/) built on several XAFS databases including MDR XAFS DB.

  • Kosuke Tanabe

    National Institute for Materials Science

    Kosuke Tanabe is a software engineer and a librarian at National Institute for Materials Science. He has been involved in developing several research information services such as NIMS Mateirals Data Repository (https://mdr.nims.go.jp) and Researchers Directory SAMURAI (https://samurai.nims.go.jp). He has also been involved in Japan Link Center (https://japanlikcenter.org) and ORCID Japan Consortium (https://orcid-jp.net) in promoting persistent identifiers in Japan.

Knowledge discovery from scholarly resources using Large Language Model and Knowledge Graph

The constant expansion of scholarly resources, such as research data and scientific literature, brings innovations while also posing new challenges for discoverability and reusability. Knowledge discovery from multi-source heterogeneous data is to extract the implicit, unknown, and potentially useful information. This study takes literature association discovery and pleiotropic gene discovery as examples to illustrate our practice of knowledge extraction, knowledge organization and knowledge reasoning in a specific domain by exploiting Large Language Model (LLM) and Knowledge Graph (KG) , involving ontology design, corpus construction, entity and relation extraction from multi-source heterogeneous data, and knowledge fusion. Furthermore, a prototype system is introduced to visualize the knowledge discovery process.

  • Guojian Xian

    Agricultural Information Institute (AII) of CAAS, China

    Guojian Xian is Professor and Director of the Literature Research Department at the National Agricultural Library, Agricultural Information Institute of CAAS. He has more than 10 years of experience in data governance, thesaurus, ontology, linked data, as well as knowledge service, spearheading projects like National Key Technology R&D program, major project of the Ministry of Science and Technology of China, and special project of National Science and Technology Library (NSTL), among others. He has ever served as a visiting scholar at the Food and Agriculture Organization (FAO), where he contributed to the mapping of AGROVOC and the Chinese Agricultural Thesaurus (CAT).

  • Jiao Li

    Agricultural Information Institute (AII) of CAAS, China

    Dr. Jiao Li is an associate professor at the National Agricultural Library, Agricultural Information Institute of CAAS. Her research interests include text mining, knowledge organization and knowledge service.
Hosted by Faculty of Information, University of Toronto
Supported by
Open Science Framework (OSF) Taxonomy Strategies