IFLA Repository

The IFLA Repository was established to collect and disseminate works by the global IFLA community. Here you can explore IFLA Standards, key publications, core documents and much more. Items in the repository are integrated with our main website, IFLA.org, as “Resources” and displayed in a separate Resources page of the website, as well as in relevant unit or topic pages. 

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Recent Submissions

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    Newsletter: Library Services to Multicultural Populations Section, July 2026
    (International Federation of Library Associations and Institutions (IFLA), 2026-07-30) Seifi, Leili; C, Syamili; Long, Jacob; Farrior, Andrew; Xaba, Cindy; De Brasdefer, Maria; Das, Dr. Anamika; Mondal, Hafijull; Ahmad, Tahira; Cox, Andrew; Li, Rende; Hinds, Erskine K; Nurzhan, Aida; Lefebvre, Camille
    In this special AI Across Cultures: Regional Realities and Experiences edition of the Section Newsletter: A Word from the Chair; A Note from the Newsletter Editor; Café Connections; Culture as Digital Infrastructure; Inclusive AI Training; Cultural Sovereignty in an AI World; AI Removing Language Barriers; Community Perceptions of AI; Artificial Intelligence and Diversity; Preserving Heritage through AI; AI‑Powered Collection Development; Almaty Library Best Practices; News from our Section; Section Officers.
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    SUSHI approach to automation: short stories of bulk metadata management workflows with automation and AI
    (International Federation of Library Associations and Institutions (IFLA), 2026-07-30) Tan, Mindy; Goh, Jeremy; Ng, Hui Ling
    Legacy metadata can be challenging to maintain and update as standards and practices evolve over time. Vendor-supplied information typically requires complex processing for fruitful integration into existing discovery systems. Consequently, libraries must figure out how to manage imperfect metadata while being constrained by limited manpower and resources. In this presentation, we will share about the approach taken at the National Library and Archives Board Singapore. Designed by cataloguers, for cataloguers, our workflows efficiently harmonise and resolve legacy and seller-supplied metadata. Through four short stories across different metadata management use cases, we introduce our management approach and philosophy to scripting and AI in cataloguing workflows to increase the efficiency of our metadata services. We explore how these experiences reinforce why cataloguers’ expertise and human-in-the-loop remain paramount, now more than ever, both in designing tech-assisted workflows and working alongside technology to create, maintain and enhance metadata. Keywords: Metadata management, automation, legacy metadata, cataloguing, workflows
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    From Crawling to Accountable Curation: A Human–AI Workflow for Trustworthy Local News Media Archives in Small Libraries
    (International Federation of Library Associations and Institutions (IFLA), 2026-07-30) Xiao, Peng; Chen, Chaotian; Cao, Lina
    Local news media are essential sources of community memory, civic evidence, and local knowledge, yet they are increasingly dispersed across unstable born-digital platforms, news websites, government pages, and community information channels. For small libraries, the challenge is not simply to crawl more local news, but to transform fragmented and short-lived online materials into trustworthy, interpretable, and reusable archives under limited staffing, technical capacity, and budgetary conditions. This paper presents a lightweight human–AI workflow for trustworthy local news media archiving in small libraries. Based on a working prototype built with n8n, SearchAPI, a large language model (LLM), and ArchiveBox, the workflow supports scheduled retrieval, semantic relevance filtering, tag classification, structured output generation, duplicate checking, and local web snapshot preservation. AI is assigned to repetitive discovery, filtering, and formatting tasks, while librarians remain responsible for defining collection scope, validating outputs, adjusting keywords and prompts, supervising exceptions, and making legal and ethical judgments. The prototype also reveals practical gaps that are often overlooked in discussions of AI-enabled news services. These include the cost and incompleteness of news APIs, limited crawling coverage, restricted access to some news sources, the difficulty for non-technical staff to configure search strategies and prompts, copyright concerns, media licensing constraints, and the distinction between local preservation and public redistribution. Rather than treating these limitations as technical failures, the paper frames them as design conditions for accountable human–AI collaboration. The paper argues that responsible AI use in local news media services depends less on full automation than on librarian-governed workflows that make local news collections more trustworthy, interpretable, and meaningful for researchers and communities. Its contribution is a transferable workflow model through which small libraries can participate in AI-mediated news preservation and support responsible research on local news media. Keywords: Human-AI collaboration, digital preservation
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    Lost in Translation: How AI Summarization Tools Misrepresent Urdu-Language News Archives for Researchers
    (International Federation of Library Associations and Institutions (IFLA), 2026-07-30) Khanum, Almas; Bashir, Faiza
    There is an increasing tendency for South Asian scholars to use AI-based summarization tools in order to sift through the massive amounts of newspaper archives written in Urdu – vernacular papers that provide unique insights into political events, religious discussion, and sociocultural developments in Pakistan from 1947 onwards. However, there has been very little consideration of whether these summarization tools can be considered effective when working with non-Western, resource-poor languages. The current study seeks to critically analyze the distortion of the Urdu-language newspaper archives created by modern AI summarization software, focusing specifically on three thematic categories: religion, regional politics, and civil-military interactions. For that reason, a purposeful sample of 120 Urdu-language newspaper articles published from 1947 until now will be analyzed using GPT-4o, Gemini 1.5 Pro, and LLaMA 3.The four types of epistemic distortions noted included: (i) omission of politically and religiously relevant information; (ii) cultural elimination of linguistically encoded meaning; (iii) factual distortion; and (iv) reversal of evaluative position, in which the evaluative position taken in the source text is negated in the translated version. Pre-1990 papers experienced much higher rates of distortion due to the cumulative effects of OCR errors and the absence of early Urdu journalism materials from AI training datasets. These are not technical problems alone but stem from structural inequalities in AI development, in which the dominance of English-language data sets leads to the systematic marginalization of non-Western knowledge systems. This paper takes Urdu journalism as a case study in the exclusion of low-resource languages from AI. Keywords: Urdu-language archives; Low-resource languages; Epistemic ince; Low-resource language processing; AI summarization;
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    The importance of collaboration and establishing mutual support networks to improve disaster resilience
    (International Federation of Library Associations and Institutions (IFLA), 2026-07-30) Kurahashi, Tetsuro; IFLA Preservation and Conservation Section
    In this presentation, Tetsuro Kurahashi explains the concept of disaster resilience and gives an overview of Japan's coordinated networks for disaster risk management and emergency response for cultural heritage . The presentation was part of a webinar organized by the IFLA Preservation and Conservation Section (PRESCONS), that explores how libraries around the world can strengthen resilience and preparedness in the face of global climate change and natural disasters. Experts and members of PRESCONS share strategies, case studies, and reflections on collaboration, risk reduction, and sustainable practices for protecting documentary heritage.