Course Details

Unlocking Information: Advanced Metadata & Linked Data for Libraries Training Course

INTRODUCTION

"Revolutionize your library's data management and discoverability with our Advanced Metadata & Linked Data for Libraries Training Course. Master the intricacies of Dublin Core, MARC, BIBFRAME, and RDF to create robust, interoperable metadata. This program equips librarians with the skills to leverage linked data principles for enhanced resource discovery, semantic web integration, and data sharing. Elevate your library's digital presence and unlock the full potential of your collections."

DURATION

10 days

TARGET AUDIENCE

This course is meticulously designed for:

• Metadata Librarians and Catalogers: To enhance their expertise in advanced metadata standards.
• Digital Librarians and Archivists: To improve digital collection management and interoperability.
• Systems Librarians and IT Professionals: To understand and implement linked data technologies.
• Information Science Students and Researchers: To gain advanced knowledge in metadata and semantic web.
• Anyone seeking to leverage advanced metadata for enhanced information discovery.

COURSE OBJECTIVES

Upon completion of this course, participants will be able to:

• Understand the principles and applications of Dublin Core, MARC, BIBFRAME, and RDF.
• Create and manage metadata using advanced metadata standards.
• Apply linked data principles to enhance resource discoverability and interoperability.
• Transform and map metadata between different formats (e.g., MARC to BIBFRAME).
• Utilize RDF and SPARQL for querying and retrieving linked data.
• Develop and implement metadata schemas and ontologies.
• Understand the semantic web and its applications in libraries.
• Implement metadata enrichment strategies for enhanced discoverability.
• Navigate the challenges and opportunities of linked data in library environments.
• Understand the importance of metadata governance.

COURSE MODULES

Module 1: Foundations of Advanced Metadata:

• Overview of metadata principles and standards.
• Introduction to Dublin Core, MARC, BIBFRAME, and RDF.
• Understanding the evolution of metadata for libraries.
• The importance of interoperability and data sharing.

Module 2: Dublin Core and Metadata Basics:

• Detailed exploration of Dublin Core elements and qualifiers.
• Best practices for using Dublin Core in digital collections.
• Applying Dublin Core for simple metadata descriptions.
• Understanding the role of controlled vocabularies.

Module 3: MARC and Bibliographic Metadata:

• In-depth analysis of MARC formats and structures.
• Advanced MARC coding and cataloging techniques.
• Transforming and manipulating MARC records.
• Understanding the limitations and future of MARC.

Module 4: BIBFRAME and Linked Data Principles:

• Introduction to BIBFRAME and its conceptual model.
• Understanding linked data principles and technologies.
• Mapping MARC to BIBFRAME and vice versa.
• Creating and managing BIBFRAME data.

Module 5: RDF and Semantic Web Technologies:

• Introduction to RDF (Resource Description Framework).
• Understanding RDF triples and graphs.
• Using SPARQL for querying and retrieving linked data.
• Exploring RDF vocabularies and ontologies.

Module 6: Metadata Transformation and Mapping:

• Techniques for transforming metadata between different formats.
• Using tools and scripts for metadata mapping.
• Addressing challenges in metadata conversion and interoperability.
• Understanding the importance of crosswalks.

Module 7: Developing Metadata Schemas and Ontologies:

• Principles of ontology development and design.
• Creating and managing metadata schemas.
• Using ontology tools and editors.
• Applying ontologies for knowledge representation.

Module 8: Implementing Linked Data in Libraries:

• Strategies for implementing linked data projects.
• Developing linked data applications for libraries.
• Integrating linked data with library systems.
• Case studies of successful linked data implementations.

Module 9: Metadata Enrichment and Discovery:

• Techniques for enriching metadata with external data sources.
• Using linked data for enhanced resource discovery.
• Applying semantic search and navigation.
• Understanding the role of entity recognition.

Module 10: Metadata Governance and Future Trends:

• Developing metadata governance policies and procedures.
• Ensuring metadata quality and consistency.
• Exploring emerging trends in metadata and linked data.
• The future of metadata in the semantic web.

 CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com