Document and Archive Digitisation Course

Lesson 1 • Types of Documents and Materials

Categorises source materials by format, fragility, and digitisation complexity. Accurate material identification is a prerequisite to equipment and workflow selection.

Lesson 2 • Professional and Ethical Standards

Introduces internationally recognised guidelines for digitisation quality, authenticity, and access. Students connect ethical obligations to practical workflow decisions.

Lesson 3 • History and Purpose of Archival Digitisation

Traces the evolution from paper-based archives to digital repositories and explains why institutions digitise. Grounds subsequent technical decisions in professional and cultural rationale.

Lesson 4 • Overview of the Digitisation Workflow

Maps the end-to-end process from intake through long-term storage. Provides a mental model that organises all skills taught in subsequent chapters.

Lesson 1 • Budgeting and Resource Allocation

Covers cost estimation for equipment, labour, storage, and outsourcing. Accurate budgeting ensures project viability and supports funding applications.

Lesson 2 • Workflow Design and Scheduling

Teaches students to map task dependencies, assign roles, and build realistic timelines. Structured workflows reduce bottlenecks and improve throughput.

Lesson 3 • Needs Assessment and Scope Definition

Guides students through stakeholder interviews, collection surveys, and priority ranking. A well-defined scope prevents budget overruns and scope creep.

Lesson 4 • Risk Management in Digitisation Projects

Identifies common risks—equipment failure, staff turnover, format obsolescence—and mitigation strategies. Proactive risk management protects project timelines and collections.

Lesson 1 • Scanner Types and Selection Criteria

Compares flatbed, overhead, planetary, and drum scanners by resolution, throughput, and material suitability. Correct scanner selection is the foundation of capture quality.

Lesson 2 • Workspace Ergonomics and Safety

Addresses physical setup, environmental controls, and safe handling of fragile originals during capture. A safe workspace protects both staff and irreplaceable materials.

Lesson 3 • Lighting Principles and Setup

Explains diffuse, raking, and transmitted lighting techniques and their effect on image quality. Proper lighting eliminates glare, shadows, and surface texture artefacts.

Lesson 4 • Camera-Based Capture Systems

Introduces DSLR and medium-format camera rigs for large-format and bound-volume digitisation. Camera systems offer flexibility that flatbed scanners cannot provide.

Lesson 1 • Capture Settings and Technical Parameters

Defines optimal resolution, bit depth, and colour space settings for different material types. Correct parameters at capture prevent irreversible quality loss.

Lesson 2 • Batch Processing and Throughput Optimisation

Applies automation tools to rename, convert, and validate large image batches efficiently. Throughput optimisation reduces per-item cost without sacrificing quality.

Lesson 3 • Quality Control Metrics and Standards

Introduces measurable QC criteria: sharpness, tone, colour accuracy, and completeness. Standardised metrics enable consistent evaluation across operators and sessions.

Lesson 4 • Handling and Positioning Originals

Teaches safe positioning, flattening, and support techniques to capture complete, undistorted images. Improper handling is a leading cause of both damage and poor image geometry.

Lesson 1 • Descriptive Metadata Creation

Teaches cataloguing principles, controlled vocabularies, and authority files for accurate description. Consistent description enables reliable discovery across systems and time.

Lesson 2 • Metadata Quality Assurance

Applies completeness checks, controlled vocabulary validation, and cross-field consistency rules. Metadata QA prevents discovery failures and preservation gaps downstream.

Lesson 3 • Metadata Entry Tools and Automation

Introduces spreadsheet templates, metadata editors, and automated extraction from image files. Efficient entry tools reduce manual effort and transcription errors.

Lesson 4 • Technical and Administrative Metadata

Covers capture parameters, file provenance, rights statements, and access conditions as metadata. Administrative metadata supports rights management and audit trails.

Lesson 1 • Storage Media and Infrastructure

Compares on-premises servers, NAS, tape, and cloud storage for reliability, cost, and scalability. Infrastructure decisions determine recovery capability and operational cost.

Lesson 2 • Archival File Format Selection

Evaluates TIFF, JPEG 2000, PDF/A, and other formats against preservation and access criteria. Format choice directly affects file longevity, quality, and system compatibility.

Lesson 3 • Backup Strategies and the 3-2-1 Rule

Applies the 3-2-1 backup principle and tests recovery procedures to guarantee data resilience. Untested backups provide false security; recovery drills are mandatory practice.

Lesson 4 • Digital Preservation Planning

Introduces preservation planning frameworks, format migration strategies, and emulation approaches. Long-term access requires proactive planning before formats or media become obsolete.

Lesson 1 • DAM and Repository System Overview

Distinguishes digital asset management systems from institutional repositories and explains their roles. Understanding system types prevents costly mismatches between tools and institutional needs.

Lesson 2 • Search, Discovery, and Delivery

Configures search indexes, faceted browsing, and delivery formats to optimise user discovery. Effective discovery maximises the return on digitisation investment.

Lesson 3 • Ingest and Workflow Configuration

Covers bulk ingest procedures, metadata mapping, and automated workflow triggers within a repository. Correct ingest configuration ensures data integrity and metadata fidelity from day one.

Lesson 4 • System Maintenance and Reporting

Covers routine maintenance tasks, usage analytics, and system health reporting for ongoing operations. Proactive maintenance prevents outages and informs future resource allocation.

Lesson 1 • Emerging Technologies in Digitisation

Evaluates AI-assisted transcription, automated metadata generation, and robotic scanning systems. Critical evaluation skills prevent adoption of tools that do not meet archival standards.

Lesson 2 • Interoperability and Linked Data

Introduces OAI-PMH, IIIF, and linked open data principles for sharing collections across platforms. Interoperability multiplies the discoverability and reuse of digitised assets.

Lesson 3 • Measuring Impact and Return on Investment

Defines KPIs for digitisation programmes and methods for quantifying access, cost savings, and preservation value. Evidence-based reporting secures continued funding and institutional support.

Lesson 4 • Building and Sustaining a Digitisation Programme

Addresses staffing models, training pipelines, community partnerships, and long-term programme sustainability. Sustainable programmes outlast individual projects and deliver compounding institutional value.