EDUCATION SUBJECT ATLAS · LIBRARY & INFORMATION SCIENCE
What Is Library & Information Science?
Library & Information Science, often shortened to LIS, is the study and practice of organising, preserving, retrieving, evaluating and providing access to recorded knowledge and information. It includes libraries, archives, metadata, cataloguing, classification, information retrieval, digital preservation, research support, information behaviour and the design of systems that help people find trustworthy information.
LIS is sometimes mistaken for the study of books. Books are important, but the field is much broader. Modern information professionals work with datasets, websites, photographs, oral histories, maps, scientific papers, software repositories, government records, audiovisual archives and digital collections. The central problem is not the container. It is how knowledge remains discoverable, understandable, trustworthy and usable over time.
Library & Information Science builds the infrastructure through which a civilisation remembers, finds, verifies and reuses what it knows.
The information lifecycle
- Create or acquire information.
- Describe it with metadata.
- Organise it through classification and relationships.
- Preserve the original and relevant context.
- Make it discoverable through catalogues, indexes or search.
- Provide access under appropriate rights and conditions.
- Support interpretation and evaluation.
- Preserve provenance and changes.
- Retain, migrate, archive or responsibly dispose.
This lifecycle turns scattered records into durable institutional memory.
Libraries
Libraries collect, organise and provide access to information for communities. Public, school, academic, national, corporate and specialist libraries serve different users and purposes.
The library is both collection and service: shelves and databases matter only because people need routes into them.
Information science
Information science studies how information is represented, organised, retrieved, transmitted and used. It draws from computing, linguistics, statistics, psychology, design and management.
LIS combines this systems view with the institutional traditions of librarianship, archives and knowledge stewardship.
Information behaviour
Information behaviour studies how people recognise information needs, search, evaluate, share, avoid and use information.
Users do not search like ideal databases. They use partial vocabulary, follow social recommendations, stop early, forget sources and change questions while learning.
Information need
An information need begins when someone recognises a gap between what they know and what they need to know or do.
The hardest search problems often occur when users cannot yet name the thing they need. Librarianship includes helping refine the question itself.
Reference services
Reference work helps users locate relevant, credible information. The reference interview clarifies the underlying question rather than answering only the first wording.
This is a diagnostic function: what information would actually resolve the user’s uncertainty?
Collection development
Collection development selects materials according to mission, users, quality, cost, diversity, legal obligations and preservation needs.
No collection can contain everything. Selection is therefore an explicit governance process.
Acquisition
Acquisition brings materials into a collection through purchase, licence, donation, deposit or digitisation.
Digital acquisition often means licensing access rather than owning a permanent copy, which changes long-term preservation and control.
Cataloguing
Cataloguing creates structured descriptions so resources can be identified and distinguished. Titles, creators, dates, editions, formats and subjects become machine-readable access points.
A catalogue does more than list items. It establishes identity and relationships across versions and works.
Metadata
Metadata is structured information about information. Descriptive metadata supports discovery; administrative metadata supports rights and management; technical metadata records format characteristics; preservation metadata documents long-term custody and change.
Metadata is infrastructure for context.
Authority control
Authority control manages consistent identities for people, organisations, places and subjects. One author may publish under several names; different people can share the same name.
Controlled identity makes search and aggregation more reliable.
Classification
Classification places resources into structured categories. Systems can be hierarchical, faceted or domain-specific.
Classification is never perfectly neutral because categories reflect purposes, history and assumptions about what differences matter.
Taxonomies and thesauri
Taxonomies organise concepts into structured hierarchies. Thesauri add broader, narrower and related-term relationships as well as preferred vocabulary.
Controlled vocabularies improve consistency across large collections.
Ontologies
Ontologies define concepts and relationships formally so machines can reason about structured domains.
They connect library traditions of knowledge organisation with semantic-web and knowledge-graph systems.
Information retrieval
Information retrieval studies how systems find relevant information from large collections. Search engines, library catalogues and document indexes are retrieval systems.
The central challenge is relevance: matching imperfect queries to useful resources.
Precision and recall
Precision measures how many retrieved items are relevant. Recall measures how many relevant items were retrieved.
A legal or systematic-review search may prioritise recall because missing a critical source is costly. A casual search may prioritise precision.
Search strategy
Search strategy uses keywords, subject headings, Boolean operators, filters, citation trails and database-specific syntax.
Expert search is iterative. Results teach the searcher new vocabulary, which improves the next query.
Discovery systems
Discovery layers provide unified search across catalogues, databases and digital collections. They improve convenience while hiding heterogeneous sources beneath one interface.
Good discovery should preserve source and access information even when results appear in one list.
Indexes
Indexes create access points into books, journals, websites and databases. Indexing is intellectual work because concepts must be selected and named.
Citation networks
Academic works cite earlier sources, creating networks of influence and evidence. Citation searching can move backward to foundations and forward to later developments.
Citation count is useful but should not be treated as direct measurement of truth or quality.
Archives
Archives preserve records created through activities of people and institutions. Archival value depends heavily on provenance, original context and relationships among records.
Archives often preserve evidence that was never created for future researchers.
Provenance
Provenance records where information came from, who created it, how it was transmitted and what changes occurred.
In an age of synthetic media, provenance becomes increasingly important for judging authenticity.
Records management
Records management controls records through creation, active use, retention and disposal. Organisations need to know which records are authoritative and how long they must be kept.
Keeping everything forever can be as problematic as deleting too much.
Digital preservation
Digital preservation ensures information remains usable despite format obsolescence, hardware change, software dependencies and media degradation.
Preservation requires active management: checksums, migration, redundant storage, documentation and format strategy.
Digitisation
Digitisation converts physical materials into digital representations. Scanning improves access but does not automatically preserve every feature of the original object.
Resolution, colour, metadata and file formats determine future usefulness.
Digital libraries
Digital libraries organise online collections with metadata, search, rights and preservation systems.
They extend access while creating new dependencies on software, identity and licensing.
Open access
Open access seeks to make research literature available without subscription barriers. Different models distribute publishing costs differently.
Librarians help researchers understand repositories, licences and publishing choices.
Scholarly communication
Scholarly communication includes creation, peer review, publication, dissemination, preservation and reuse of research.
LIS studies the infrastructure through which knowledge enters the scholarly record.
Research data management
Research data management plans how data will be organised, documented, stored, protected, shared and preserved.
Good data stewardship makes research more reproducible and reusable.
Data repositories
Repositories preserve datasets, code, publications and other research outputs with persistent identifiers and metadata.
Repositories turn outputs into citable objects with durable access routes.
Persistent identifiers
Persistent identifiers such as DOIs and researcher identifiers help maintain stable references even when web locations or names change.
Identity infrastructure is essential for long-lived knowledge systems.
Information literacy
Information literacy is the ability to recognise information needs, find appropriate sources, evaluate them critically and use information responsibly.
It includes understanding search systems, evidence, bias, citation and the limits of sources.
Source evaluation
Source evaluation examines authority, evidence, purpose, date, method and corroboration.
Authority is contextual: an eyewitness may know what happened at one location while lacking expertise about broader causes.
Misinformation
LIS contributes to misinformation resilience by teaching provenance, lateral verification, source comparison and retrieval strategy.
The goal is not to memorise trusted websites forever but to build repeatable verification habits.
Access
Access concerns whether people can discover and use information. Cost, language, disability, geography, technology and licensing can all create barriers.
Libraries reduce some barriers by sharing infrastructure and expertise.
Accessibility
Accessible information systems support users with varied visual, auditory, motor and cognitive needs.
Accessibility belongs in metadata, interface and content design from the beginning.
Privacy
Libraries and information services can observe what people search, read and borrow. Privacy protects intellectual freedom by reducing fear of surveillance.
Digital services require careful handling of search logs, accounts and analytics.
Intellectual freedom
Intellectual freedom concerns access to diverse ideas and the ability to inquire without improper restriction.
Libraries balance this with collection policy, law, community needs and safeguarding obligations.
Censorship and collection challenges
Collection disputes reveal that selection is never purely technical. Communities can disagree about age suitability, harm, representation and public funding.
Professional practice relies on transparent policy rather than arbitrary removal.
Copyright and licensing
Information services operate within copyright, licensing and contract rules. Digital resources can be governed by licence terms that differ from ownership of physical books.
Librarianship increasingly requires legal and contractual literacy.
Knowledge management
Knowledge management helps organisations capture, organise and reuse know-how. It includes repositories, communities of practice, documentation and expertise discovery.
The hardest knowledge often lives in people and routines rather than documents.
Information architecture
Information architecture structures websites and digital environments so users can navigate and find information.
It uses categories, labels, navigation, search and hierarchy—digital descendants of long-standing library organisation problems.
User experience
Information services succeed when users can complete real tasks. Usability research, analytics and interviews reveal where interfaces block discovery.
A theoretically perfect classification can fail if ordinary users cannot understand its labels.
Library systems
Library systems manage acquisition, cataloguing, circulation, electronic resources and discovery.
Modern systems integrate physical collections with databases, authentication, link resolvers and digital repositories.
Interoperability
Libraries exchange records across institutions, making standards essential. Interoperability requires both technical format and shared meaning.
Standards allow one catalogue record or identifier to travel across systems without being rebuilt each time.
Linked data and knowledge graphs
Linked data represents entities and relationships so information can connect across datasets. Knowledge graphs extend this idea into machine-readable networks.
This shifts discovery from isolated records toward connected knowledge.
Artificial intelligence in libraries
AI can support metadata generation, search, transcription, summarisation, recommendation and discovery.
AI outputs require review because invented metadata, biased classification or false summaries can corrupt the knowledge layer at scale.
Retrieval-augmented AI
Retrieval-augmented AI connects language models to curated information collections. LIS contributes directly through metadata, provenance, authority control, search quality and collection governance.
A model can generate fluent language; a library system helps establish which sources deserve to enter the context.
Synthetic media and provenance
As AI makes realistic synthetic text, image and audio easier to produce, provenance becomes a central information-science problem.
Future collections need records of origin, transformation and custody, not merely file contents.
Libraries as civic infrastructure
Public libraries provide more than books. They offer shared space, internet access, literacy programmes, local information and support for people navigating institutions.
The library can function as low-barrier civic infrastructure.
School libraries
School libraries connect reading, research, information literacy and curriculum. Librarians help students move from search results to evidence-based inquiry.
In an AI-rich environment, that verification role becomes more important.
Academic libraries
Academic libraries support teaching and research through collections, databases, research consultations, repositories and data services.
They increasingly participate in open science and research-data stewardship.
Special libraries
Special libraries serve domains such as law, medicine, corporations, museums and government. Their value comes from deep subject knowledge and specialised retrieval.
The information-stewardship pipeline
- Define the community and information need.
- Acquire relevant resources.
- Establish identity and provenance.
- Describe resources with metadata.
- Organise concepts and relationships.
- Preserve content and context.
- Build retrieval and access routes.
- Support evaluation and responsible use.
- Observe search and use behaviour.
- Repair gaps in collection, description or access.
This operational model fills the gap between “a library stores information” and the real machinery that makes knowledge usable across generations.
Failure modes
- Invisible resource: the item exists but poor metadata makes it undiscoverable.
- Authority collision: two entities are merged or one entity is split incorrectly.
- Context loss: a digital copy survives while provenance disappears.
- Format decay: files remain intact but no current system can interpret them.
- Search bias: ranking repeatedly hides relevant minority or older material.
- Licence fragility: access disappears when a subscription ends.
- AI contamination: generated descriptions introduce unsupported claims into trusted metadata.
Mini case: the book nobody can find
A library owns a valuable local history book, but the catalogue uses an outdated place name and no current subject terms. Researchers searching the modern name never see it.
The object exists. The access architecture failed.
Mini case: the perfect scan with no context
A historical photograph is digitised at excellent resolution but loses its date, photographer, location and collection provenance.
The pixels survived while much of the evidence value disappeared. LIS preserves context alongside content.
A CivDJ model of Library & Information Science
- ENTITY: users, creators, resources, collections, institutions and information systems.
- STATE: availability, description, rights, preservation status, authority identity and access condition.
- OCCURRENCE: acquisition, cataloguing, search, borrowing, digitisation, migration and disposal.
- RELATIONSHIP: authorship, subject, citation, provenance, version, collection and semantic relation.
- INTENT: discover, learn, verify, preserve, teach, research or administer.
- OBSERVATION: search logs, circulation, citations, user interviews, records and preservation checks.
- ARTIFACT: books, datasets, catalogues, metadata records, archives, repositories and indexes.
- CLAIM: statements about identity, relevance, authority, preservation and information quality.
- VOID: uncatalogued material, missing provenance, lost formats, absent voices and hidden access barriers.
Rainbolt-style library analysis asks what is missing from the search result: the unindexed archive, alternate name, local collection, inaccessible format or uncited source. CivDJ then rotates the information object through identity, provenance, access and preservation before treating retrieval as complete.
How to think like an information professional
- Clarify the real information need.
- Identify the best source types.
- Search using both natural and controlled vocabulary.
- Trace provenance and authority.
- Distinguish discovery from verification.
- Preserve context with content.
- Design metadata for future users, not only current staff.
- Protect access, privacy and intellectual freedom.
- Plan for format and platform change.
- Return user behaviour to collection and retrieval design.
Library & Information Science across the learning journey
Young learners can begin with libraries, catalogues, source types, keywords and basic information literacy. Secondary learners can study metadata, classification, citation, archives, search strategy and misinformation. Advanced study adds information retrieval, knowledge organisation, digital preservation, research data, scholarly communication, information architecture and computational methods.
The progression is from “find a source” to “design trustworthy information infrastructure.”
Why Library & Information Science belongs inside education
Education depends on reliable access to recorded knowledge. As information grows faster and synthetic content becomes easier to produce, the ability to organise, verify and preserve sources becomes foundational.
LIS teaches that knowledge is not useful merely because it exists. Someone must preserve its identity, context and route back to evidence.