Metadata Schema And Linked Data: Rda, Marc, Dublin Core, And Semantic Web Technologies Training Course

Introduction

Empower library professionals to harness the full potential of metadata and linked data with our comprehensive Metadata Schema and Linked Data: RDA, MARC, Dublin Core, and Semantic Web Technologies Training Course. This program equips you with the essential knowledge and skills to effectively utilize metadata schemas like RDA, MARC, and Dublin Core, and to leverage semantic web technologies for enhanced resource description, discovery, and interoperability. Mastering metadata schema and linked data is increasingly vital for libraries seeking to optimize data management, improve online accessibility, and participate in the evolving landscape of digital information. Our library metadata training course offers in-depth guidance and actionable strategies for implementing these crucial standards and technologies.

This Metadata Schema and Linked Data: RDA, MARC, Dublin Core, and Semantic Web Technologies training delves into key areas such as Resource Description and Access (RDA), MARC 21, Dublin Core, linked data principles, semantic web technologies (RDF, SPARQL, OWL), ontology development, metadata crosswalking, and implementing linked data in library systems. You will gain expertise in creating rich, structured metadata, connecting library resources to the broader web, and enabling more sophisticated data integration and discovery. Whether you are a cataloger, metadata librarian, or systems librarian, this Metadata Schema and Linked Data training course will provide you with the tools and knowledge to effectively manage and enhance your library's data.

Target Audience:

• Catalogers
• Metadata Librarians
• Systems Librarians
• Digital Services Librarians
• Data Architects
• Information Architects
• Ontology Librarians

Course Objectives:

• Understand the principles of metadata schema and linked data.
• Apply RDA to describe library resources.
• Utilize MARC 21 for bibliographic data exchange.
• Implement Dublin Core for resource description.
• Grasp the fundamentals of linked data principles.
• Explore semantic web technologies (RDF, SPARQL, OWL).
• Develop ontologies for knowledge representation.
• Perform metadata crosswalking between different schemas.
• Implement linked data in library systems.
• Understand metadata quality
• Learn about metadata vocabularies and standards.
• Explore metadata aggregation
• Understand user engagement with linked data.

DURATION

10 Days

Course Content:

Module 1: Introduction to Metadata Schema and Linked Data

• Understanding the principles of metadata schema and linked data.
• Exploring the evolution of metadata standards in libraries.
• Understanding the benefits of linked data for libraries.
• Identifying key metadata schemas (RDA, MARC, Dublin Core).
• Best practices for applying metadata and linked data in libraries.

Module 2: Resource Description and Access (RDA)

• Applying RDA to describe library resources.
• Understanding the structure and principles of RDA.
• Creating RDA metadata for various resource types.
• Understanding RDA relationships and entities.
• Best practices for implementing RDA in cataloging.

Module 3: MARC 21

• Utilizing MARC 21 for bibliographic data exchange.
• Understanding the structure and components of MARC 21.
• Creating MARC 21 records for different materials.
• Converting between MARC 21 and other metadata formats.
• Best practices for using MARC 21 in library systems.

Module 4: Dublin Core

• Implementing Dublin Core for resource description.
• Understanding the elements and structure of Dublin Core.
• Applying Dublin Core to describe online resources.
• Extending Dublin Core for specific needs.
• Best practices for using Dublin Core in metadata creation.

Module 5: Linked Data Principles

• Grasping the fundamentals of linked data principles.
• Understanding the concept of linked data and the Semantic Web.
• Using URIs to identify resources.
• Understanding RDF triples and the graph data model.
• Best practices for publishing and consuming linked data.

Module 6: Semantic Web Technologies (RDF, SPARQL, OWL)

• Exploring semantic web technologies (RDF, SPARQL, OWL).
• Understanding the Resource Description Framework (RDF).
• Querying RDF data with SPARQL.
• Defining vocabularies and ontologies with OWL.
• Best practices for utilizing semantic web technologies.

Module 7: Ontology Development

• Developing ontologies for knowledge representation.
• Understanding the principles of ontology design.
• Using ontology development tools.
• Aligning ontologies with library needs.
• Best practices for creating and managing ontologies.

Module 8: Metadata Crosswalking

• Performing metadata crosswalking between different schemas.
• Understanding the need for metadata crosswalking.
• Using tools and techniques for schema mapping.
• Converting metadata between RDA, MARC, and Dublin Core.
• Best practices for metadata crosswalking.

Module 9: Implementing Linked Data in Library Systems

• Implementing linked data in library systems.
• Integrating linked data into catalogs and repositories.
• Enhancing resource discovery with linked data.
• Developing linked data applications for libraries.
• Best practices for implementing linked data.

Module 10: Metadata Quality Control

• Understanding metadata quality
• Ensuring metadata accuracy and consistency.
• Implementing metadata validation techniques.
• Establishing metadata quality metrics.
• Best practices for maintaining high-quality metadata.

Module 11: Metadata Vocabularies and Standards

• Learning about metadata vocabularies and standards.
• Exploring controlled vocabularies (e.g., LCSH, MeSH).
• Understanding metadata standards (e.g., ISO 2709, MODS).
• Selecting appropriate vocabularies and standards.
• Best practices for using metadata vocabularies.

Module 12: Metadata Aggregation

• Exploring metadata aggregation
• Understanding the purpose of metadata aggregation.
• Using protocols like OAI-PMH.
• Creating metadata collections and hubs.
• Best practices for metadata aggregation.

Module 13: User Engagement with Linked Data

• Understanding user engagement with linked data.
• Designing user interfaces for linked data.
• Evaluating the impact of linked data on user experience.
• Promoting linked data to library users.
• Best practices for enhancing user engagement.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.