What Is Information Science?

Information science is a discipline concerned with the collection, classification, storage, retrieval, and dissemination of recorded knowledge. It examines the cognitive, social, and technological dimensions of information, studying how information is created, how it flows through institutions and networks, and how individuals and organizations find and use it. The field draws on library science, computer science, cognitive psychology, communication theory, and systems engineering, making it one of the more interdisciplinary entries in the computing curriculum.

The intellectual lineage of information science traces to documentation studies in the early twentieth century, when Paul Otlet and Henri La Fontaine developed the Universal Decimal Classification system and proposed the idea of a global "mundaneum," a repository of all recorded knowledge. The field formalized as a distinct academic discipline in the 1950s and 1960s, coinciding with the growth of scientific literature and the first experiments in computer-based document retrieval. The ACM-IEEE joint report on Computing Curricula identifies information science as one of several distinct modern computing disciplines, noting its emphasis on organizational and social dimensions of information alongside technical ones.

Knowledge Organization

Knowledge organization is the subfield of information science that develops the systems, schemes, and standards by which information objects are described, classified, and related to one another. Classification schemes such as the Dewey Decimal System and the Library of Congress Classification assign hierarchical codes to subjects. Controlled vocabularies and thesauri, such as the Medical Subject Headings (MeSH) maintained by the National Library of Medicine, provide standardized terminology for indexing and searching specialized collections. Ontologies formalize domain knowledge as sets of entities and relationships, enabling machine-readable representations of subject matter. These structures underpin both human-operated library catalogs and automated knowledge graph construction systems. The ISKO Encyclopedia of Knowledge Organization documents the theoretical and applied dimensions of this subfield in detail.

Information Behavior

Information behavior research investigates how people recognize, seek, evaluate, and use information in naturalistic settings. Foundational models such as David Ellis's behavioral model and Brenda Dervin's Sense-Making framework characterize information seeking as a dynamic, context-dependent process rather than a simple query-response transaction. Studies in this area examine how domain expertise shapes search strategies, how cognitive load affects the evaluation of search results, and how social context influences which information sources are trusted. Applied findings from information behavior research inform the design of information retrieval interfaces, digital library systems, and organizational knowledge management tools. The Journal of the Association for Information Science and Technology is the primary venue for empirical and theoretical work in this area.

Digital Information Systems

The practical implementation layer of information science encompasses the systems that store, index, and deliver information at scale: digital libraries, institutional repositories, content management systems, and metadata registries. The transition from physical to digital collections required new approaches to metadata, persistent identification, and long-term preservation. Standards such as Dublin Core for descriptive metadata and the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) enable federated search across distributed repositories. The ACM Digital Library exemplifies a large-scale digital information system: it indexes over five million publications, provides full-text access to ACM journals and conference proceedings, and exposes structured metadata for programmatic use.

Applications

Information science has applications in a wide range of fields, including:

• Library and archival management, where classification, cataloging, and preservation methods originate in information science research
• Healthcare information systems, applying medical terminology standards and record organization to clinical documentation
• Enterprise knowledge management, using taxonomies and search systems to make organizational knowledge findable
• Digital humanities, applying information retrieval and text analysis methods to historical and literary corpora
• Intelligence analysis, using knowledge organization and information behavior insights to support analysts working with large document collections