NEW
Assigning subject terms to resources to represent their content topics.
DESCRIPTION
Subject indexing applies controlled terms to describe the aboutness of resources, supporting precise search and organization. It relies on policies and vocabularies like LCSH or MeSH. Indexers balance specificity and coverage, improving retrieval by normalizing terminology. Automated approaches complement human indexing but require evaluation and oversight.
ALTERNATIVE DEFINITIONS
Wikipedia
Subject indexing is the process of assigning terms that describe the subject content of a document.
Concise process-oriented definition emphasizing assigning subject terms.
IFLA
Subject access is achieved through the consistent application of subject indexing and classification, using controlled vocabularies and established policies.
Links subject indexing to broader subject access goals and governance.
RELATED TERMS
Subject Headings Value Set Class Hierarchy Thesaurus Classification Metadata Information Retrieval Cataloging Indexing Policy Descriptor
COMPETING TERMS
Automatic Indexing Tagging
RELATIONS
- Broader: Indexing
KNOWLEDGE AREAS
Metadata Management Document & Content Management Semantic & Knowledge Modeling
TARGET AUDIENCE
Data Steward Information Analyst BI Specialist
EXTERNAL SOURCES
- Wikipedia - Subject indexing
- IFLA - Guidelines on subject access and indexing
- Library of Congress - Subject cataloging resources and policies
TOP QUESTIONS
What is the goal of Subject Indexing?
To represent a document’s aboutness using standardized terms, enabling consistent, precise discovery and organization.
Category: Relevancy
How does Subject Indexing differ from Tagging?
Indexing uses controlled vocabularies and policies; tagging is user-driven and informal, often lacking authority control.
Category: Alternatives
What are common mistakes in Subject Indexing?
Overly broad or overly specific term selection, and inconsistent application of policies.
Category: Mistakes
How is quality assured in Subject Indexing?
Peer review, authority control, training, and audits improve consistency and accuracy.
Category: Testing
Can Subject Indexing be automated?
Yes, using NLP and machine learning. Human oversight ensures accuracy and mitigates bias.
Category: Opinion
What standards and vocabularies support Subject Indexing?
LCSH, MeSH, ISO 25964, and SKOS support modeling, publication, and interoperability.
Category: Standard
How do Subject Headings relate to Subject Indexing?
Subject headings are the controlled terms applied during subject indexing to describe topical content.
Category: Example
What training do indexers need?
Domain knowledge, policy familiarity, and user-centered understanding of retrieval needs.
Category: Requirements
How does Subject Indexing impact analytics?
Standardized terms enable reliable topical reporting, trend analysis, and improved recommendation quality.
Category: Impact