AI+ Cataloguing & Metadata Workbook
Practice companion to AI+ Cataloguing & Metadata
Practice companion to T3-99.
You bookmarked the batch-enhancement chapter. The backlog didn't notice.
You read AI+ Cataloguing & Metadata. The ENRICH Protocol made sense — and the backlog, the subject headings, and the authority file checks are still exactly where you left them. This workbook closes that gap: 37 exercises across four weeks, built on your own real records and backlogs. Built by an AI engineering firm for cataloguers who know the standards — the practice that makes AI-assisted work genuinely standards-compliant, not just faster.
- 37 structured exercises across four weeks — built on the resources, records, and backlogs you handle every day
- Week 1 — schema and description: Examine and Name, from a real resource to a finished, standards-compliant record
- Week 2 — classification and authority control: Rank and Connect, verified against the real schedules, plus a disambiguation drill
- Week 3 — quality assurance and backlog clearance: the Five-Point Framework applied at scale, plus a catch-the-defect drill
- Week 4 — digital collections, discovery and your plan: real platform metadata, a discovery audit, and a 90-day adoption plan
A library cataloguer, technical services staff member, metadata librarian, or digital projects librarian — in academic, public, national, or special library settings — who has read (or is working through) AI+ Cataloguing & Metadata (T3-99) and wants structured, progressive practice applying the ENRICH Protocol to their own real records and backlogs.
Also for:An archivist or digital asset manager using the workbook as a facilitated CPD programme; an LIS student or early-career cataloguer building practice alongside coursework; a technical services team running a shared practice arc under a department lead's supervision.
- Select the correct metadata schema for a real resource and create a real, standards-compliant descriptive record using the ENRICH Protocol's Examine and Name steps
- Apply AI-assisted classification and subject heading assignment to real resources, verifying every proposal against the official schedules and authority files — including correctly catching a confident but wrong authority disambiguation in a supplied flawed scenario
- Run the Five-Point Metadata QA Framework on a real batch of records and apply AI-assisted batch enhancement to a real legacy backlog — including correctly catching a plausible but non-compliant record in a supplied flawed QA scenario
- Apply AI to real digital collection metadata and a real web-discovery optimisation task, and build a personal 90-day AI cataloguing adoption plan
- Week 1
- Choosing Your Schema and Creating a Real Record
- Week 2
- Classification, Subject Analysis and Authority Control
- Week 3
- Quality Assurance and Clearing the Backlog
- Week 4
- Digital Collections, Discovery and Your Adoption Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for cataloguers who know the standards — the practice that makes AI-assisted work genuinely standards-compliant, not just faster.
Often packaged with this title.
T2-66 · Job RolesAI+ Librarians
T3-01 · Job SkillsAI+ Academic Research
T3-57 · Job SkillsAI+ Knowledge Management
T3-19 · Job SkillsAI+ Instructional Design
T3-65 · Job SkillsAI+ Critical Evaluation
T3-15 · Job SkillsAI+ Report Writing
T3-66 · Job SkillsAI+ Ethical AI Use in Practice
T3-89 · Job SkillsAI+ Records & Information Management