American Library Association. (2019). Privacy: An interpretation of the Library Bill of Rights.
Establishes the ethical boundaries of information access: patron privacy is a fundamental pillar of library and information science.
I
Foundations, access, and retrieval
Why we organize at all: the ethics of access, the open-access settlement, the objectives of the catalog, and the deep logic beneath bibliographic structure.
Budapest Open Access Initiative. (2002). Read the Budapest Open Access Initiative.
The foundational declaration of the open-access movement, framing modern access rights around digital distribution, interoperability, and the public good.
Creative Commons. (2013). Attribution 4.0 International (CC BY 4.0).
A key legal and operational framework for open licensing that governs modern information sharing, reuse, and copyright management in digital repositories.
Cutter, C. A. (1904). Rules for a dictionary catalog (4th ed.). Government Printing Office.
Reading: “Objects,” pp. 10–12.
An influential early text in user-centric resource discovery, introducing the foundational “Objects” of the library catalog that still inform modern user-experience models.
Atherton, P. (1970). Putting knowledge to work: An American view of Ranganathan’s five laws of library science. Vikas Publishing House.
Reading: Selections could include Chapter C, “Inaugural Address: A Layman’s Reflections on Library Science” by K. Guru Dutt, Director of Public Instruction (Retired), Mysore, India; and Chapter E, Law 1: “Books Are For Use: How to See To It!” by Pauline Atherton.
hdl.handle.net/10150/105783 · dLIST Classics Project, preserved in the University of Arizona institutional repository.
Lancaster, F. W. (1986). Vocabulary control for information retrieval (2nd ed.). Information Resources Press.
A foundational conceptual text on why controlled vocabularies and thesauri are necessary to successfully bridge user queries and document indexing.
Bowker, G. C., & Star, S. L. (1999). Sorting things out: Classification and its consequences. MIT Press.
An influential sociological text demonstrating that classification standards are deeply embedded, moral, and political choices affecting societal infrastructure.
Neri, F. (2024). Il principio vitale della biblioteca: Il sapere e l’apprendimento come beni comuni [The vital principle of the library]. AIB Studi, 64(2), 163–180.
Explores libraries through the lens of the commons, connecting traditional organizational principles directly to knowledge as a shared societal good.
Neri, F. (2025). Rien ne manque à sa gloire; il manquait à la nôtre: Shera, Ranganathan e la Legge Zero della biblioteconomia. AIB Studi.
Bridges the historical information-science theory of the American Shera and the Indian S. R. Ranganathan with contemporary philosophical frameworks governing library science.
National Institute of Standards and Technology. (n.d.). Digital identity guidelines.
Reading: selected glossary / definitions.
Provides technical definitions and authentication frameworks crucial for understanding access-management systems.
Svenonius, E. (2000). The intellectual foundation of information organization. MIT Press.
Reading: a short excerpt on bibliographic objectives and/or bibliographic language.
A rigorous, theoretical text on bibliographic languages, objectives, and the deep logic of why we structure information.
II
Metadata, records, and bibliographic models
From MARC records to conceptual models and RDF vocabularies — the working machinery of description and the models that give it shape.
Coleman, A. S. (2005). From cataloging to metadata: Dublin Core records for the library catalog. In R. P. Smiraglia (Ed.), Metadata: A cataloger’s primer (pp. 153–181). Routledge.
Explains the operational shift from traditional MARC cataloging environments to simple, interoperable Dublin Core schemas for electronic resources.
Dublin Core Metadata Initiative. (n.d.). DCMI metadata terms. Retrieved August 15, 2026.
Reading: overview plus selected terms — title, creator, subject, description, publisher, date, type, format, identifier, source, language, relation, coverage, rights.
A widely used standard for cross-domain resource discovery, introducing students to core element sets such as title, creator, and subject.
International Federation of Library Associations and Institutions. (2017). IFLA Library Reference Model: A conceptual model for bibliographic information.
Reading: introduction, user tasks, entities, and high-level relationships.
Shifts students from physical record-keeping to entity-relationship modeling; its scope is broader than the familiar WEMI layers alone, spanning a general hierarchy of entities, user tasks, and their relationships.
Library of Congress. (n.d.). MARC 21 format for bibliographic data. Retrieved August 15, 2026.
Reading: selected fields — 100, 245, 264, 300, 336, 337, 338, 500, 520, 650, 700, 776.
A machine-readable format for representing and exchanging bibliographic records, long standard in library systems.
Library of Congress. (n.d.). MARC 21 format for authority data. Retrieved August 15, 2026.
Reading: selected 1XX, 4XX, and 5XX documentation.
Focuses on name and subject authority control, ensuring consistency and controlled access points across a catalog.
RDA Registry. (n.d.). RDA element sets. Retrieved August 15, 2026.
The RDF representation of RDA (Resource Description and Access) elements and vocabularies: RDA is the content standard built on FRBR/LRM principles, and the Registry expresses its elements as linked data.
Core factual grounding
MARC is designed for the machine-readable representation and communication of bibliographic information; the RDA Registry expresses RDA entities, elements, and vocabularies in RDF; and DCMI maintains the formal terms specification.III
Classification, critical cataloging, and repair
Classification as a moral and political act — its consequences, its critiques, and the work of naming and repair.
Berman, S. (1993). Prejudices and antipathies: A tract on the LC subject heads concerning people (2nd ed.). McFarland.
Reading: selected entries only.
A widely cited critique of institutional bias in Library of Congress Subject Headings, demonstrating how classification carries social impact.
Coleman, A. S. (2006). William Stetson Merrill and bricolage for information studies. Journal of Documentation, 62(4), 462–481.
Analyzes Merrill’s historical contributions to classification flexibility and practical problem-solving in library collections.
Drabinski, E. (2013). Queering the catalog: Queer theory and the politics of correction. The Library Quarterly, 83(2), 94–111.
Applies queer theory to metadata architecture, showing how catalogers can actively intervene to repair exclusionary structures.
Merrill, W. S. (1912). A code for classifiers — its scope and problems [Reprinted from The Library Journal, May–June 1912].
An early, foundational look at the challenges, anomalies, and intellectual decisions involved in systematic book placement.
Merrill, W. S. (1928). A code for classifiers: Principles governing the consistent placing of books in a system of classification. American Library Association.
Assign: 2–4 selected principles.
Provides concrete principles for maintaining consistency when slotting complex, multi-subject items into linear shelves.
Olson, H. A. (2007). How we construct subjects: A feminist analysis. Library Trends, 56(2), 509–541.
Reading: selected excerpt.
Uses feminist critique to dissect how standard knowledge organization systems marginalize non-dominant perspectives through structural choices.
Fox, V. B., et al. (n.d.). Cataloging Lab / Inclusive Metadata Toolkit (or a selected Cataloging Lab proposal).
Reading: one bounded current resource.
A crowdsourced, community-driven resource that empowers practitioners to propose localized and inclusive subject-heading changes.
IV
Web, linked data, AI, and interoperability
Description on the open web and its next questions: linked-data frameworks, structured data, verifiability, and the profession’s emerging stance toward machine learning.
Library of Congress. (n.d.). BIBFRAME: Bibliographic Framework Initiative. Retrieved August 15, 2026.
Explores the Library of Congress’s transition strategy from MARC to linked-data standards for the web.
Program for Cooperative Cataloging. (2025–2026). Task Group on AI and Machine Learning for Cataloging and Metadata: Final report and related guidance. Library of Congress.
Reading: selected final recommendations and/or current official PCC guidance.
Evaluates the integration, opportunities, and risks of artificial intelligence and machine learning in modern metadata workflows.
schema.org. (n.d.). Getting started with schema.org using Microdata. Retrieved August 15, 2026.
Essential web-standard vocabulary used by search engines to structure data directly in web markup.
schema.org. (n.d.). Book. Retrieved August 15, 2026.
One web structured-data type for books — useful for discovery markup, though not a complete library metadata model.
Wikimedia Foundation. (n.d.). Wikidata: Data model. Retrieved August 15, 2026.
Introduces students to decentralized, collaborative knowledge graphs and linked-data structures operating at internet scale.
Wikimedia Foundation. (n.d.). Wikipedia: Verifiability. Retrieved August 15, 2026.
Highlights editorial standards and evidence requirements in collaborative, text-based knowledge spaces.
Markdown Guide. (n.d.). Basic syntax. Retrieved August 15, 2026.
A practical syntax reference for information professionals working with lightweight markup in documentation and digital repositories.
§
Professional resources (selective)
Standing reference points — registries, encyclopedias, and authorities to consult across the semester.
- Reference resourceALA CORE: Leadership, Infrastructure, Futures — professional division hub setting technical and metadata standards for library collections and technical services.
- Reference resourceBARTOC.org — a comprehensive directory tracking knowledge organization systems across global information domains.
- Reference resourceISKO Encyclopedia of Knowledge Organization — a peer-reviewed conceptual map of knowledge organization theories, historical figures, and specialized frameworks.
- Reference resourceLibrary of Congress — Cataloging & Acquisitions, Subject Headings (LCSH), and PCC Task Groups — primary operational portals providing national standards, policy statements, and updates for library technical-services workflows.
◊
Generative AI — core documents from the profession
Where the field is drawing its lines. A professional conversation about adoption, refusal, and human authorship. For a side-by-side comparative reading of library, archive, and museum AI statements, see the companion page below.
American Library Association. (2026). Guidance on the use of artificial intelligence in libraries.
Adopted by ALA Council in July 2026; a living, values-based framework for local AI policy in which non-adoption, pause, and discontinuation are named as legitimate outcomes alongside adoption.
ASIS&T, ALISE, & iSchools. (2020). Statement on AI ethics and the contributions of diverse voices.
A field-level call for rigorous, ethical AI research and for diverse voices in the work, issued amid debates over AI research, bias, and scholarly voice.
University of Illinois. (n.d.). Generative AI — AI apps.
The University’s AI-app catalog frames AI largely as working infrastructure, with meaningful cautions but uneven treatment of students and faculty. Worth reading critically: a university is also a place for independent thought, slow reading, and non-commercial infrastructure, and intellectual labor should not be quietly reframed as productivity tasks to be accelerated and purchased.
University of Illinois Library. (n.d.). Generative AI for research: Critical thinking and AI.
A practical guide to planning a research project, using AI tools within library databases, and citing AI-generated content.
Companion resource
AI Governance Across Libraries, Archives & Museums →
A comparative reading of nine library, archive, and museum statements — ALA, ARL, IFLA, the ASIS&T/ALISE/iSchools field statement, the two SAA publication policies, the UK Museums Association, the Canadian Museums Association, and Library and Archives Canada — compared by what each permits, what each refuses, and what each treats as non-delegable to AI, with a short set of contextual comparators (ICA, ICOM, UNESCO, and the Authors Guild).
University AI Infrastructure: Questions for Teaching & Research →
A critical reading of the University of Illinois AI-app catalog and the questions it raises for scholarly autonomy, human authorship, and the infrastructure of knowledge production.
❦
Provenance & project history
The Knowledge Structures Toolbox was developed in 2001–2002 for teaching information organization at the University of Arizona. It was an early linked teaching environment connecting concepts, sources, and tools for reusable instruction. Its commons-oriented premise informed later work in metadata education, including the Metadata Education and Research Information Commons (MERIC).
MERIC was a proposed collaborative teaching-and-research commons for metadata education. Anita S. Coleman led development of its proof-of-concept clearinghouse. A University of North Texas prototype by William Moen and his class followed, but the initiative did not become a sustained production service.
The 2026 Core Readings guide returns to that premise in a versioned, openly described, and machine-readable form. The Toolbox anticipated later open course guides, online bibliographies, and teaching-resource collections in cataloging, metadata, and knowledge organization.
On this edition
This is a teaching resource. It is offered openly for reuse and adaptation, and it is maintained as a dated, citable record so that the intellectual and pedagogical labor behind it remains visible and open to future study.