Metadata Course

Lesson 1 • Core Types of Metadata

Covers descriptive, structural, administrative, and technical metadata types. Students map each type to practical use cases in information management.

Lesson 2 • Defining Metadata and Its Purpose

Introduces the formal definition of metadata and distinguishes it from raw data. Establishes the conceptual baseline for all subsequent chapters.

Lesson 3 • Metadata in Information Ecosystems

Examines how metadata functions within libraries, databases, and digital platforms. Connects metadata theory to real organizational workflows.

Lesson 1 • Business and Enterprise Metadata Schemas

Examines schemas used in corporate data governance and asset management contexts. Students align schema elements with business data requirements.

Lesson 2 • Bibliographic and Library Standards

Covers widely used bibliographic schemas for describing documents and resources. Students apply element sets to catalogue sample materials accurately.

Lesson 3 • Geospatial and Scientific Metadata Standards

Introduces standards for geographic and scientific datasets, emphasizing domain-specific requirements. Connects schema choice to data discovery and reuse.

Lesson 4 • Evaluating and Selecting Schemas

Provides a decision framework for comparing and selecting metadata schemas. Students practice schema evaluation using real-world information scenarios.

Lesson 1 • Metadata Templates and Forms

Guides students in designing reusable metadata templates that enforce consistency. Templates are connected to schema requirements and workflow integration.

Lesson 2 • Batch Metadata Processing

Introduces techniques for applying metadata to large collections efficiently. Students practice bulk operations while maintaining record accuracy.

Lesson 3 • Manual Metadata Entry Techniques

Teaches structured approaches to entering metadata fields accurately by hand. Emphasizes consistency, completeness, and adherence to schema rules.

Lesson 4 • Automated Metadata Extraction

Covers tools and methods that extract metadata automatically from files and systems. Students configure extraction workflows and validate output quality.

Lesson 1 • Thesaurus Construction and Use

Covers the structure of thesauri including broader, narrower, and related term relationships. Students build a small thesaurus from a defined subject domain.

Lesson 2 • Taxonomy Design and Hierarchy

Teaches hierarchical classification principles used in organizational taxonomies. Students design a multi-level taxonomy for a realistic content collection.

Lesson 3 • Principles of Controlled Vocabularies

Defines controlled vocabularies and explains their role in reducing ambiguity. Connects vocabulary control to improved search precision and recall.

Lesson 4 • Ontologies and Semantic Relationships

Introduces ontologies as richer knowledge structures beyond simple hierarchies. Students distinguish ontology components and their metadata applications.

Lesson 1 • Data Stewardship and Ownership

Defines data stewardship roles and clarifies ownership distinctions in metadata management. Connects stewardship to day-to-day quality maintenance activities.

Lesson 2 • Metadata Governance Frameworks

Introduces governance structures including roles, policies, and accountability mechanisms. Students draft a governance charter for a hypothetical metadata programme.

Lesson 3 • Metadata Auditing Techniques

Covers systematic methods for auditing metadata repositories to identify defects. Students conduct a structured audit using checklists and scoring rubrics.

Lesson 4 • Dimensions of Metadata Quality

Defines quality dimensions such as accuracy, completeness, consistency, and timeliness. Students apply each dimension to evaluate sample metadata records.

Lesson 1 • Data Lineage and Provenance

Teaches how to document and trace data origins, transformations, and movements. Students map lineage for a sample data pipeline using standard notation.

Lesson 2 • Metadata APIs and Integration

Introduces programmatic access to metadata through APIs and integration patterns. Students design a metadata exchange workflow between two systems.

Lesson 3 • Data Catalogues and Asset Inventories

Covers the purpose and architecture of enterprise data catalogues for asset discovery. Students populate a catalogue with business and technical metadata.

Lesson 4 • Metadata in Data Warehouses and Lakes

Addresses metadata challenges specific to large-scale analytical environments. Students apply zone-based metadata strategies for data lake management.

Lesson 1 • RDF and Linked Data Principles

Covers the Resource Description Framework (RDF) as the foundation for linked metadata. Students write and parse RDF triples in multiple serialisation formats.

Lesson 2 • Schema.org and Structured Markup

Examines Schema.org vocabularies for embedding metadata in web content. Students implement structured markup to improve search engine discoverability.

Lesson 3 • SPARQL for Metadata Querying

Teaches SPARQL query language for retrieving and filtering linked metadata. Students write queries against public endpoints to extract meaningful results.

Lesson 4 • Semantic Web Fundamentals

Introduces the architecture of the semantic web and the role of metadata within it. Students map the semantic web stack from URIs to reasoning layers.

Lesson 1 • Aligning Metadata with Business Goals

Connects metadata programme objectives to measurable organisational outcomes. Students identify business drivers and translate them into metadata requirements.

Lesson 2 • Metadata Programme Maturity Models

Introduces maturity frameworks for assessing and advancing metadata programme capability. Students score a sample organisation and identify improvement priorities.

Lesson 3 • Building a Metadata Strategy Document

Guides students through drafting a comprehensive metadata strategy with scope and priorities. Each component is tied to governance, quality, and technology decisions.

Lesson 4 • Change Management for Metadata Initiatives

Addresses organisational resistance and adoption challenges in metadata programmes. Students apply change management techniques to a metadata rollout scenario.