The consultation launched by the European Commission on the review of Directive (EU) 2019/790 and on a possible targeted initiative in the field of copyright offers an opportunity to reflect on the relationship between Open Science, artificial intelligence and knowledge infrastructures. This article analyses the issues that emerged from discussions at European, transnational, national and institutional levels, with particular attention to the secondary publication right, research exceptions, text and data mining, and the scientific use of content in AI systems. It argues that a reform consistent with Open Science cannot be limited to the regulation of markets and licences, but must recognise the role of universities, libraries, repositories, university presses and research support services in the production, preservation, circulation and reuse of knowledge. This requires university strategies capable of integrating open access, bibliodiversity, responsible research assessment, research data management and reliable infrastructures.
This article aims to providing a comprehensive overview of the possible interactions between Wikidata and authority files, which can be classified into two main categories: firstly, the methods of reconciliation between Wikidata items and authority records; secondly, the ways in which the Wikidata community can improve Wikidata items using the authority records to which they link, and in which the cataloguers can improve their authority records using the Wikidata items that link to them, in a collaborative perspective. The purpose of this overview is optimising existing workflows and encouraging to establish new ones, so as to foster the reciprocal improvement of Wikidata's and authority files' data. The last part of the article describes a few major collaborations between Wikidata and authority files of national and international relevance, and the main attempts to use Wikibase (Wikidata's software) as a platform to store authority files.
This study investigates whether Hip & aacute;tia can be characterised as a digital preservation model for records and information. Developed by the Brazilian Institute of Information in Science and Technology (Ibict), Hip & aacute;tia functions as an infrastructure for integration and automation among information systems, aimed at implementing Trusted Digital Archival Repositories (TDARs). Motivated by the lack of conceptual consensus surrounding the term "model" in scientific literature, the article offers a theoretical and epistemological examination of Hip & aacute;tia's relevance to Information Science and Archival Science. It employs a qualitative, exploratory, and descriptive approach grounded in a literature review. Works from Philosophy and Information Science addressing the notion of model were analysed, alongside technical and scientific studies on Hip & aacute;tia, especially its configuration as a TDAR and its alignment with the Open Archival Information System (OAIS) model. Findings suggest that, although Hip & aacute;tia does not fully conform to traditional definitions, it can be framed as a Kuhnian exemplar, an analogical model (Hesse), an operational representation (Abrantes), an applied method (Dutra), and a logical structure (Silva). Its databus (BarraPres) and capacity for integrating diverse systems highlight its flexibility, interoperability, and diagnostic potential. The study concludes that Hip & aacute;tia operates not only as a technical tool but as a multifaceted model.
The essay examines the role of measurement and data analysis in the evaluation of archival services, highlighting delays, resistance and critical issues in comparison with other fields such as libraries and museums. Drawing on international standards and guidelines, it presents the recovery and reworking of historical data relating to the reading room services of the State Archives of Florence and Venice, which led to the development of a prototype web application for calculating metrics and generating tables and charts. The paper discusses in detail the limitations identified in the legacy data and proposes several measures to improve future data collection, advocating the integration of data gathering and analysis functionalities within the Sala Studio platform, which is gradually intended to manage user services for all Italian State Archives.
The article examines the function of the archival bond and the different ways in which it manifests itself in processes of documentary sedimentation, and then proceeds to analyse the persistence of this foundational concept and its evolutions within the context of the dematerialisation of archives.
