This PhD research investigates how digital social reading platforms shape reading practices through interface design and algorithmic features. Focusing on social cataloguing sites—where readers create lists, review books, and interact rather than upload texts or purchase books—the study compares globally dominant platforms (Goodreads, StoryGraph, Fable) with European language-specific sites (Databáze knih, LovelyBooks). The platform interface is treated as a non-neutral environment where technological affordances, commercial objectives, and cultural assumptions intersect. Interfaces are analysed in their current form and through archived versions, providing a diachronic view of evolving design strategies. Methodologically, the research combines discursive interface analysis with digital nudging, examining how design elements exploit cognitive biases to subtly guide behaviour while raising ethical and power-related questions. Preliminary results indicate that American platforms are more gamified and algorithmically curated, emphasizing goals, challenges, and social comparison, whereas European platforms present reading in a more database-oriented, less prescriptive manner.

The Cultural Heritage Exploration and Retrieval with Intelligent Systems (CHExRISH) project addresses the fragmentation of heritage data across the Jagiellonian University Archives, Museum, and Library by developing the Jagiellonian University Heritage Metadata Portal (JUHMP)—a Linked Data–based semantic infrastructure aligned with FAIR and open science principles. JUHMP integrates archival, bibliographic, and museum metadata within a shared interoperability framework grounded in the CIDOC‑CRM ontology, enabling coherent representation of people, places, events, and artefacts across institutional boundaries. Conceptually, JUHMP treats academic heritage not as a static collection but as a dynamic network of actors, practices, and intellectual artefacts, aligning with the Sampo model’s evolution from aggregation portals toward analytical and AI-driven discovery environments.

Technically, JUHMP builds a unified integration layer through event-based modelling and authority reconciliation, linking person records from the Corpus Academicum Cracoviense, bibliographic metadata from the Alma system, and museum data from MuzUJ. A hybrid approach combining machine learning–based record linkage and expert validation produced an authority file of 824 verified individuals forming the core of JUHMPv1.2. The system is deployed as a Sampo-based portal, supporting cross-collection search, semantic enrichment, and transparent data exploration.

By operationalising CIDOC‑CRM as an institutional mediation layer, JUHMP demonstrates how research universities can develop semantic heritage infrastructures that enhance interoperability, enable machine-assisted knowledge discovery, and critically reflect on the epistemic foundations of their own data practices.

This paper presents conceptual considerations for the digitisation and publication of a heterogeneous collection of materials as Linked Open Data (LOD), most of which originated from the holdings of the Technical College for Museologists and is now owned by the Leipzig University of Applied Sciences (HTWK). The collection includes large-format glass slides, 35mm slides, hanging files on the museum and exhibition holdings of the GDR, and numerous publications on museum work in the GDR. It documents the history and transformation of an institution that began on 1 September 1954 in Köthen as a technical college for museum assistants. Due to a lack of systematic cataloguing and digitisation, the objects in this collection have remained largely invisible to the international scientific community.

Along the data lifecycle, the project aims to systematically index the collection and, by combining CIDOC-CRM with Wikidata and Collective Access, to semantically model it, make it accessible and interoperable.

Literary awards constitute a significant entity within literary communication, functioning as indicators of symbolic capital and professional recognition within the literary field (Bourdieu 1992). As outcomes of collective expert judgement, prizes shape authors’ careers, influence publishing strategies, and affect the reception and visibility of literary works. The so-called ‘Nobel effect’ represents the most widely discussed example of this phenomenon, yet recent scholarship has examined literary awards from a broader range of perspectives, including language, gender, categorisation, and market dynamics.

This paper introduces the Database of Czech Literary Awards (CLA), developed within the Czech Literary Bibliography research infrastructure. The database currently records 120 prizes, approximately 1,500 annual instalments, over 4,000 associated individuals, and nearly 3,000 awarded works, thereby providing near-comprehensive coverage of Czech literary prizes. Organised around three core entities — awards, persons, and literary works — the data model (based on an adapted MARC21 authority format) enables the systematic recording of award histories, prize categories, committee memberships, and awarded titles, including distinctions and rankings.

Since 2026, the CLA has undergone FAIRification within the national Open Science II project and is being made available in standardised formats, with Linked Open Data representation planned. Its integration into the broader CLB data ecosystem enables interoperability with related knowledge bases and facilitates large-scale analyses of institutional networks, publishing patterns, and the role of literary awards in both historical and contemporary literary communication.

In contemporary post-digital ecologies marked by information abundance, visibility and selection are structured through complex layers of curation performed by algorithmic systems, which human actors are part of. This paper examines the platformized dissemination of literature on social media platforms.

Commercial platforms have emerged as key intermediaries in the circulation of literary content. Practices associated with BookTok, Bookstagram, and BookTube shape which books gain attention, generate engagement, and translate into market and institutional visibility. These developments raise questions about how traditional cultural institutions, such as public libraries, are repositioned.

The paper addresses two interrelated research questions: how do human and algorithmic curation mechanisms interact in the dissemination of literary works on platforms, and how do these mechanisms affect readers’ choices of literature? Furthermore, it explores what role public libraries can assume as professional mediators of literature in an environment increasingly governed by platform algorithms.

Empirically, the study utilizes data from Instagram, TikTok, and YouTube, focusing on the circulation of specific literary works. By tracing the visibility and engagement trajectories of literary titles supported by the Norwegian Publishing Scheme for Literature, we analyze how different forms of curation—human-driven practices and recommendation systems—intersect. The analysis is informed by theories of curation and digital meaning-making, situating literary dissemination within broader platform infrastructures.

The paper contributes to digital humanities research by combining data analysis with cultural and institutional perspectives on literature, and by critically examining how algorithmic curation reshapes literary circulation and challenges the role of public libraries as public service institutions.

This paper examines whether museums are prepared to function as Open Science infrastructures within European digital knowledge ecosystems. While many institutions have digitised their collections, digital visibility does not necessarily translate into interoperability, reusability, or readiness for AI-driven research. The study proposes a conceptual shift from the “digitised museum” to the “museum as knowledge infrastructure,” arguing that scholarly reuse and responsible AI integration begins with data structures, licensing frameworks, and governance practices rather than algorithms alone.

The research combines three components: (1) a longitudinal infrastructure analysis (2024–2026) of 131 Polish museums listed in the State Register of Museums, assessing interoperability, metadata standards, licensing, persistent identifiers, APIs, and Linked Open Data; (2) an organizational survey investigating institutional culture, Open Science practices, and AI awareness; and (3) the development of the Museum Infrastructure Readiness Index (MIRI), an exploratory composite indicator synthesizing infrastructural and governance dimensions.

Preliminary findings from the first research wave reveal significant structural gaps, particularly in Linked Open Data implementation and machine-readable metadata, despite widespread digitisation. The second wave evaluates infrastructural change and institutional responses to evolving European regulatory frameworks.

Rather than presupposing fixed typologies, the study explores whether recurring patterns of infrastructural engagement can be empirically identified. By situating museums within debates on interoperability, FAIR principles, and AI governance, the paper contributes to ongoing discussions in European Digital Humanities about how cultural institutions can move beyond digital presentation toward functioning as responsible, reusable, and ethically grounded research infrastructures.